TY - CONF A1 - Lenke, Philipp A1 - Liehr, Sascha A1 - Krebber, Katerina T1 - Improvements of the distributed strain sensor based on optical time domain reflectometry measurement in polymer optical fibers N2 - Sensing characteristics of standard polymer optical fibers (POF) are further studied using the optical time domain reflectometry (OTDR) technique. The level of the backscattering inside POF, which highly increases at locations where strain is applied to the fiber, is further investigated with respect to spectral behavior, strain rate and span of time from the stretching event. An algorithem to overcome the problem of the decrease of spatial resolution as a result of pulse broadening due to modal disperion, is proposed. The research is carried out on the background of the development of a new strain sensor that is integrated in technical textiles. T2 - 17th International Conference on Plastic Optical Fibers (POF 2008) CY - Santa Clara, California, USA DA - 2008-08-25 KW - Distributed strain sensor KW - Optical fiber sensor KW - POF KW - Scatter KW - PMMA KW - Spatial resolution PY - 2008 IS - Paper 1 SP - 1 EP - 5 AN - OPUS4-18210 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Liehr, Sascha A1 - Lenke, Philipp A1 - Wendt, Mario A1 - Krebber, Katerina T1 - Perfluorinated graded-index polymer optical fibers for distributed measurement of strain N2 - Recently, we have proposed, to our knowledge for the first time, to use perfluorinated graded-index polymer optical fiber (POF) for distributed measurement of strain. Thanks to their low attenuation and low modal dispersion compared to standard-POF, this fiber type allows to extend the measurement length to more than 500 meters at increased spatial resolution. In this paper, two mechanisms for strain sensing are introduced. As in standard PMMA POF, strain in the fiber can be detected by evaluating the local backscatter increase occurring at strained fiber sections. Further, we propose, to our knowledge for the first time, a true distributed length change measurement in POF using cross-correlation analysis of the fiber’s characteristic backscatter signature. Using this technique, it is possible to measure relative displacement between different fiber sections avoiding signal fading failures that are inherent in other measurement principles. Cross-sensitivities to the sensor signal, as fiber bends and temperature, are investigated and quantified. T2 - 17th International Conference on Plastic Optical Fibers (POF 2008) CY - Santa Clara, California, USA DA - 2008-08-25 KW - Distributed strain sensor KW - Optical fiber sensor KW - Perfluorinated POF KW - POF sensors PY - 2008 IS - Paper 64 SP - 1 EP - 5 AN - OPUS4-18209 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Liehr, Sascha T1 - Distributed Polymer Optical Fiber Sensors in Geotextiles for Monitoring of Earthwork Structures T2 - 4th International Conference on Structural Health Monitoring of Intelligent Infrastructure CY - Zurich, Switzerland DA - 2009-07-22 PY - 2009 AN - OPUS4-20477 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Liehr, Sascha T1 - POF Sensors Integrated in Technical Textiles for Monitoring of Earthwork Structures and Masonry T2 - 7th International Workshop on Structural Health Monitoring (IWSHM) CY - Stanford, CA, USA DA - 2009-09-09 PY - 2009 AN - OPUS4-20478 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Liehr, Sascha T1 - Distributet perfluorinated POF strain sensor using OTDR and OFDR techniques T2 - Twentieth International Conference on Optical Fibre Sensors CY - Edinburgh, Scotland DA - 2009-10-05 PY - 2009 AN - OPUS4-20505 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Schneider-Gloetzl, J. A1 - Gloetzl, R. A1 - Krebber, Katerina A1 - Liehr, Sascha A1 - Wendt, Mario A1 - Wosniok, Aleksander T1 - Geotechnical monitoring of construction activities by distributed fiber optic sensors embedded in geotextiles T2 - 5th European workshop on structural-health-monitoring 2010 CY - Sorrento, Italy DA - 2010-06-29 KW - Foundation engineering KW - Geotechnical monitoring KW - Smart textiles KW - Distributed fiber optic sensors KW - POF sensors KW - Brillouin sensors PY - 2010 IS - SS4-07 SP - 1 EP - 6 AN - OPUS4-21872 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Krebber, Katerina A1 - Lenke, Philipp A1 - Liehr, Sascha A1 - Nöther, Nils A1 - Wendt, Mario A1 - Wosniok, Aleksander ED - Santos, J.L. ED - Culshaw, B. ED - López-Higuera, J.M. ED - MacPherson, W.N. T1 - Distributed fiber optic sensors embedded in technical textiles for structural health monitoring N2 - Technical textiles with embedded distributed fiber optic sensors have been developed for the purposes of structural health monitoring in geotechnical and civil engineering. The distributed fiber optic sensors are based on Brillouin scattering in silica optical fibers and OTDR in polymer optical fibers. Such "smart" technical textiles can be used for reinforcement of geotechnical and masonry structures and the embedded fiber optic sensors can provide information about the condition of the structures and detect the presence of any damages and destructions in real time. Thus, structural health monitoring of critical geotechnical and civil infrastructures can be realized. The paper highlights the results achieved in this innovative field in the framework of several German and European projects. T2 - 4th European workshop on optical fibre sensors CY - Porto, Portugal DA - 2010-09-08 KW - Fiber optic sensor KW - Distributed sensor KW - Brillouin sensor KW - Polymer optical fibers (POF) KW - POF sensor KW - POF OTDR KW - Strain sensor KW - Technical textiles KW - Geotextiles PY - 2010 SN - 978-0-8194-8083-5 DO - https://doi.org/10.1117/12.868052 SN - 0277-786X N1 - Serientitel: Proceedings of SPIE – Series title: Proceedings of SPIE IS - 7653 SP - 76530A-1 - 76530A-12 PB - SPIE, the International Society for Optical Engineering CY - Bellingham, Wash. AN - OPUS4-21948 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Liehr, Sascha T1 - A novel fiber optic technique for quasi-distributed and dynamic measurement of length change and refractive index T2 - 4th European Workshop on Optical Fibre Sensors CY - Oporto, Portugal DA - 2010-09-08 PY - 2010 AN - OPUS4-22053 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Liehr, Sascha T1 - A novel technique for quasi-distributed and dynamic length change measurement in optical fibers T2 - OSA Optics and Photonics Congress CY - Karlsruhe, Germany DA - 2010-06-21 PY - 2010 AN - OPUS4-22049 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Lenke, Philipp A1 - Liehr, Sascha A1 - Krebber, Katerina A1 - Weigand, F. A1 - Thiele, E. T1 - Distributed strain measurement with polymer optical fiber integrated in technical textiles using the optical time domain reflectometry technique N2 - The presented research is carried out on the background of the development of a new strain sensor, integrated in technical textiles using the optical time domain reflectometry (OTDR) technique. We investigated the effect of increased scattering in POF due to applied strain as a distributed sensor including research on long-term stability and reliability of this sensor. T2 - 16th International Conference on Plastic Optical Fibers (POF 2007) CY - Turin, Italy DA - 2007-09-10 PY - 2007 SP - 21 EP - 24 PB - International Cooperative of Plastic Optical Fibers (ICPOF) CY - Turin, Italy AN - OPUS4-16435 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Liehr, Sascha A1 - Krebber, Katerina T1 - A dynamic fiber optic strain and power change sensor N2 - A dynamic and quasi-distributed sensor principle for simultaneous measurement of length changes and optical power changes between reflection points in an optical fiber is presented. The technique is based on the incoherent optical frequency domain reflectometry (I-OFDR). Length change resolutions < 1 µm and measurement repetition rates up to 2 kHz can be achieved using standard single-mode and multi-mode optical fibers. Simultaneous length change and refractive index measurement as well as field test results showing the deformation of a masonry building under seismic load are presented. Promising fields of application for this technique are the structural health monitoring sector and chemical process control. T2 - 21st International conference on optical fibre sensors CY - Ottawa, Canada DA - 15.05.2011 KW - Distributed sensor KW - Strain sensor KW - Optical fiber sensor KW - Structural health monitoring KW - OFDR KW - Dynamic sensor PY - 2011 SN - 978-0-8194-8246-4 DO - https://doi.org/10.1117/12.884577 VL - 7753 SP - 775351-1 EP - 775351-4 AN - OPUS4-24266 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - GEN A1 - Liehr, Sascha ED - Mukhopadhyay, S.C. T1 - Polymer optical fiber sensors in structural health monitoring N2 - This chapter summarizes the recent development in the relatively new and emerging field of structural health monitoring using polymer optical fiber (POF) sensors, also referred to as plastic optical fiber sensors. The extraordinary mechanical properties of POF in terms of strainability and ruggedness allows for measurement applications that could not or only insufficiently be solved with existing techniques. A great number of measurement parameters relevant for structural health monitoring applications, such as strain, displacement, crack width, vibrations or moisture can be measured with POF sensors. Numerous sensing principles have been proposed during the last 20 years and the most promising techniques and developments for SHM will be introduced. The focus is on the measurement of physical quantities for early damage detection and propagation, structural surveillance and analysis of dynamic processes. PY - 2011 SN - 978-3-642-21098-3 DO - https://doi.org/10.1007/978-3-642-21099-0 SN - 1876-1100 N1 - Serientitel: Lecture Notes in Electrical Engineering – Series title: Lecture Notes in Electrical Engineering VL - 96 SP - 297 EP - 333 PB - Springer CY - Berlin, Heidelberg AN - OPUS4-24343 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Liehr, Sascha A1 - Krebber, Katerina ED - De Roeck, G. ED - Degrande, G. ED - Lombaert, G. ED - Müller, G. T1 - A novel quasi-distributed long-gauge fiber optic strain sensor system for dynamic measurement N2 - We present a novel technique based on incoherent optical frequency domain reflectometry (OFDR) to measure length changes quasi-distributed between reflection points in optical fibres. The technique enables length changes to be measured with a resolution better than 1 µm and allows for static and dynamic measurement capabilities up to 2 kHz. We demonstrate that dynamic measurements of multiple fibre sections can be conducted independently from each other with high precision. Due to the precise and dynamic measurement capabilities, the proposed sensor system is expected to open new fields of application, especially in the structural-health-monitoring sector. Possible applications are discussed in the paper. T2 - EURODYN 2011 - 8th International conference on structural dynamics CY - Leuven, Belgium DA - 04.07.2011 KW - Distributed sensor KW - Strain sensor KW - Optical fiber sensor KW - Structural health monitoring KW - OFDR KW - Length change measurement KW - Dynamic sensor PY - 2011 SN - 978-90-760-1931-4 SP - 2097 EP - 2102 AN - OPUS4-24347 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Liehr, Sascha T1 - A novel quasi-distributed long-gauge fiber optic strain sensor system for dynamic measurement T2 - 8th International Conference on Structural Dynamics, EURODYN 2011 CY - Leuven, Belgium DA - 2011-07-04 PY - 2011 AN - OPUS4-24776 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Liehr, Sascha T1 - Hangüberwachung mit optischen Polymerfasern T2 - VDI/VDE-GMA Expertenforum "Strukturmonitoring und Zustandsüberwachung 2011" CY - Nuremberg, Germany DA - 2011-06-07 PY - 2011 AN - OPUS4-24777 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Liehr, Sascha T1 - A dynamic fiber optic strain and power change sensor N2 - A dynamic and quasi-distributed sensor principle for simultaneous measurement of length changes and optical power changes between reflection points in an optical fiber is presented. The technique is based on the incoherent optical frequency domain reflectometry (I-OFDR). The calculation of phase and amplitude changes from few measurement points in the frequency domain yields precise and dynamic length and optical power change results up to 2 kHz and μm-resolution. Test results showing the deformation of a masonry building under seismic load are presented. Promising fields of application for this technique are the structural health monitoring sector and chemical process control. T2 - 21st International Conference on Optical Fiber Sensors CY - Ottawa, Canada DA - 15.05.2011 PY - 2011 AN - OPUS4-24930 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Liehr, Sascha T1 - Verteilte faseroptische Sensoren und Anwendung im geotechnischen Monitoring T2 - Faseroptische Sensoren - Messsysteme mit Zukunft CY - Weimar, Germany DA - 2012-09-24 PY - 2012 AN - OPUS4-26793 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Liehr, Sascha T1 - Fiber optic bend and temperature sensing in femtosecond laserstructured POF T2 - 22nd International Conference on Optica Fiber Sensors (OFS-22) CY - Beijing, China DA - 2012-10-15 PY - 2012 AN - OPUS4-27174 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Liehr, Sascha A1 - Burgmeier, J. A1 - Krebber, Katerina A1 - Schade, Wolfgang T1 - Femtosecond laser structuring of polymer optical fibers for backscatter sensing N2 - Focused femtosecond laser pulses are used to create scattering damage in the core of polymer optical fibers (POF). The resulting structures are investigated regarding morphology by light microscopy and backscattered intensity using optical time domain reflectometry (OTDR). Quasi-distributed optical fiber sensing is proposed by evaluating backscatter changes at the inscribed scatter centers. Application examples for quasi-distributed measurement of fiber bends and temperature are demonstrated. KW - Femtosecond laser KW - Micromachining KW - Optical fiber sensors KW - Polymer optical fiber KW - Polymer PY - 2013 DO - https://doi.org/10.1109/JLT.2013.2250483 SN - 0733-8724 SN - 1558-2213 VL - 31 IS - 9 SP - 1418 EP - 1425 PB - Institute of Electrical and Electronics Engineers CY - New York, NY AN - OPUS4-28733 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Liehr, Sascha A1 - Burgmeier, J. ED - Jaroszewicz, L.R. T1 - Quasi-distributed measurement on femtosecond laser-induced scattering voids using incoherent OFDR and OTDR N2 - We propose to use focused femtosecond laser pulses to create scattering damage in standard singlemode optical fibres as reference points for quasi-distributed sensing applications. Such sensor fibres are interrogated with incoherent optical frequency domain reflectometry (I-OFDR) technique and optical time domain reflectometry (OTDR). A performance comparison of both techniques with the clear advantage of the I-OFDR is presented as well as a quasi-distributed length change measurement application. Also dynamic measurement based on the I-OFDR technique is demonstrated on a femtosecond laser-induced sensor chain. T2 - EWOFS 2013 - 5th European workshop on optical fibre sensors CY - Kraków, Poland DA - 19.05.2013 KW - Optical fiber sensors KW - Femtosecond laser KW - Strain sensor KW - OFDR KW - OTDR PY - 2013 SN - 978-0-81949-634-8 DO - https://doi.org/10.1117/12.2026780 SN - 0277-786X N1 - Serientitel: Proceedings of SPIE – Series title: Proceedings of SPIE VL - 8794 IS - Paper 8794 - 181 SP - 87943N-1 EP - 87943N-4 AN - OPUS4-28734 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Liehr, Sascha T1 - Quasi-distributed measurement on femtosecond laser-induced scattering voids using incoherent OFDR and OTDR T2 - 5th European Workshop on Optical Fiber Sensors CY - Kraków, Poland DA - 2013-05-19 PY - 2013 AN - OPUS4-28742 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Liehr, Sascha T1 - Quasi-distributed fiber bend and temperature measurement in femtosecond laser-structured POF T2 - 22nd International Conference on Plastic Optical Fibers CY - Buzios, Brasil DA - 2013-09-11 PY - 2013 AN - OPUS4-29504 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Unger, Jörg F. A1 - Gründer, Klaus-Peter A1 - Hille, Falk A1 - Liehr, Sascha A1 - Maack, Stefan A1 - Niederleithinger, Ernst A1 - Pirskawetz, Stephan A1 - Rogge, Andreas A1 - Said, Samir A1 - Viefhues, Eva A1 - Zorn, Sebastian ED - Baeßler, Matthias ED - Möller, G. ED - Rogge, Andreas ED - Schiefelbein, N. T1 - Innovative Messsysteme zum Brückenmonitoring am Beispiel einer Versuchsbrücke – vom Sensor bis zur Zustandsprognose N2 - In der aktuellen Projektphase liegt der Fokus auf der Datenaufnahme, -bearbeitung und -speiche-rung mit dem Ziel, automatisierte Auswerteverfahren einsetzen zu können. Aktuell wurden primär punktuelle Messungen an ausgewählten Messtagen aufgenommen. Die Systeme sollen so weiter-entwickelt werden, dass sie sich auch für kontinuierliche Messungen im Rahmen von Monitoring-aufgaben eignen. Ein wichtiger Fokus bei der Auswertung ist die Kombination mit numerischen Modellen, die mithilfe von Bayesian Update Verfahren und den aufgenommenen Messdaten kalibriert und im Verlauf der Monitoringaufgabe angepasst werden sollen. Insbesondere sollen auch zeitabhängige Modelle, die eine zeitliche Entwicklung von Struktureigenschaften beinhalten (Kriechen, Schwinden, Ermüdung, Korrosion) dazu verwendet werden, die zukünftige Performance der Struktur bewerten zu können. Basierend darauf werden dann Konzepte zur Planung von Inspektion und Wartung erstellt. T2 - Messen im Bauwesen 2017 CY - Berlin, Germany DA - 14.11.2017 KW - Brückeninfrastruktur KW - Innovative Messverfahren KW - Stereofotogrammetrie PY - 2017 SN - 978-3-9818270-8-8 VL - 2017/1 SP - 7 EP - 19 PB - Bundesanstalt für Materialforschung und -prüfung (BAM) CY - Berlin AN - OPUS4-44306 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Fricke, F. A1 - Brandalero, M. A1 - Liehr, Sascha A1 - Kern, Simon A1 - Meyer, Klas A1 - Kowarik, Stefan A1 - Hierzegger, R. A1 - Westerdick, S. A1 - Maiwald, Michael A1 - Hübner, M. T1 - Artificial Intelligence for Mass Spectrometry and Nuclear Magnetic Resonance Spectroscopy Using a Novel Data Augmentation Method N2 - Mass Spectrometry (MS) and Nuclear Magnetic Resonance Spectroscopy (NMR) are valuable analytical and quality control methods for most industrial chemical processes as they provide information on the concentrations of individual compounds and by-products. These processes are traditionally carried out manually and by a specialist, which takes a substantial amount of time and prevents their utilization for real-time closed-loop process control. This paper presents recent advances from two projects that use Artificial Neural Networks (ANNs) to address the challenges of automation and performance-efficient realizations of MS and NMR. In the first part, a complete toolchain has been realized to develop simulated spectra and train ANNs to identify compounds in MS. In the second part, a limited number of experimental NMR spectra have been augmented by simulated spectra, to train an ANN with better prediction performance and speed than state-of-the-art analysis. These results suggest that, in the context of the digital transformation of the process industry, we are now on the threshold of a strongly simplified use of MS and MRS and the accompanying data evaluation by machine-supported procedures, and can utilize both methods much wider for reaction and process monitoring or quality control. KW - Industry 4.0 KW - Cyber-Physical Systems KW - Artificial Neural Networks KW - Mass Spectrometry KW - Nuclear Magnetic Resonance Spectroscopy KW - Modular Production PY - 2021 UR - https://nbn-resolving.org/urn:nbn:de:kobv:b43-539412 UR - https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9638378 DO - https://doi.org/10.1109/TETC.2021.3131371 SN - 2168-6750 VL - 10 IS - 1 SP - 87 EP - 98 PB - IEEE AN - OPUS4-53941 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Fricke, F. A1 - Mahmood, S. A1 - Hoffmann, J. A1 - Brandalero, M. A1 - Liehr, Sascha A1 - Kern, Simon A1 - Meyer, Klas A1 - Kowarik, S. A1 - Westerdick, S. A1 - Maiwald, Michael A1 - Hübner, M. T1 - Artificial Intelligence for Mass Spectrometry and Nuclear Magnetic Resonance Spectroscopy N2 - Mass Spectrometry (MS) and Nuclear Magnetic Resonance Spectroscopy (NMR) are critical components of every industrial chemical process as they provide information on the concentrations of individual compounds and by-products. These processes are carried out manually and by a specialist, which takes a substantial amount of time and prevents their utilization for real-time closed-loop process control. This paper presents recent advances from two projects that use Artificial Neural Networks (ANNs) to address the challenges of automation and performance-efficient realizations of MS and NMR. In the first part, a complete toolchain has been developed to develop simulated spectra and train ANNs to identify compounds in MS. In the second part, a limited number of experimental NMR spectra have been augmented by simulated spectra to train an ANN with better prediction performance and speed than state-of-theart analysis. These results suggest that, in the context of the digital transformation of the process industry, we are now on the threshold of a possible strongly simplified use of MS and MRS and the accompanying data evaluation by machine-supported procedures, and can utilize both methods much wider for reaction and process monitoring or quality control. T2 - 2021 Design, Automation & Test in Europe Conference & Exhibition (DATE) CY - Grenoble, France DA - 01.02.2021 KW - Industry 4.0, KW - Cyber-physical systems KW - Artificial neural networks KW - Mass spectrometry KW - Nuclear magnetic resonance spectroscopy PY - 2021 DO - https://doi.org/10.23919/DATE51398.2021.9473958 SP - 615 EP - 620 PB - IEEE AN - OPUS4-55360 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - THES A1 - Liehr, Sascha T1 - Fibre Optic Sensing Techniques Based on Incoherent Optical Frequency Domain Reflectometry N2 - Diese Arbeit beschreibt einen alternativen Ansatz zur weit verbreiteten optischen Zeitbereichsreflektometrie, engl.: optical time domain reflectometry (OTDR). Die inkohärente optische Frequenzbereichsreflektometrie, engl.: incoherent optical frequency domain reflectometry (I-OFDR), wird grundlegend analysiert und hinsichtlich ihrer Möglichkeiten zur kontinuierlich ortsaufgelösten (verteilten) Rückstreumessung in optischen Fasern sowie faseroptischen Sensoranwendungen betrachtet. Im Gegensatz zum OTDR Ansatz wird hier die Übertragungsfunktion der optischen Faser gemessen, die über die inverse Fouriertransformation mit der äquivalenten Zeitbereichsantwort verknüpft ist. Das grundsätzliche Verfahren hat gewisse Vorteile und wird bereits zur Messung nichtlinearer optischer Effekte in optischen Fasern genutzt. Die allgemeine Rückstreumesstechnik unterscheidet sich jedoch bezüglich Anforderungen und Einschränkungen und wurde bisher nicht genau untersucht. Verteilte faseroptische Sensoranwendungen mit bemerkenswerter Messauflösung basierend auf Rayleigh-Rückstreuung und Reflexionsstellen in optischen Fasern werden erstmals vorgestellt. Im ersten Teil der Arbeit wird der Frequenzbereichsansatz theoretisch beschrieben. Notwendige Signalverarbeitung und deren Einfluss auf die Zeitbereichsantwort werden dargestellt. Abweichungen von der Linearität des I-OFDR Systems werden diskutiert und ein optimierter Messaufbau wird eingeführt; der entscheidende Einfluss der spektralen Eigenschaften der optischen Quelle wird im Detail betrachtet. Geeignete Parameter des I-OFDR Ansatzes, wie Dynamikbereich und Empfindlichkeit, werden definiert und für den Laboraufbau bestimmt. Ein möglicher Ansatz zur Unterdrückung starker Störsignale wird vorgestellt. Die Vorteile des I-OFDR Ansatzes gegenüber der OTDR Technik bezüglich der Umsetzung für hohe Ortsauflösungen sowie Messauflösung und Signalstabilität werden gezeigt. Diese Vorteile und dem Frequenzansatz eigene Messmöglichkeiten werden im zweiten Teil der Arbeit für ortsaufgelöste Sensoranwendungen demonstriert: Eine dämpfungsarme polymeroptische Faser (POF) wird erstmals auf ihre Sensoreigenschaften untersucht und zur verteilten Dehnungsmessung verwendet. Die Abhängigkeit der Rückstreuleistung von der aufgebrachten Dehnung kann genutzt werden, um gedehnte Faserstrecken zu lokalisieren. Weiterhin wird ein Korrelationsalgorithmus eingeführt, der es ermöglicht ortsaufgelöst Längenänderungen entlang der Faser mit mm-Auflösung zu messen indem die starken Streuzentren in der Faser mit einer Referenzmessung korreliert werden. Untersuchungen auf Querempfindlichkeiten der Sensorfaser bezüglich Temperatur, relativer Feuchte und Modenausbreitung zeigen vernachlässigbare bzw. beherrschbare Abhängigkeiten. In Kombination mit dem hochauflösenden I-OFDR Ansatz ermöglichen die vorgestellten Sensorverfahren vielversprechende neue Messanwendungen. Spezielles Interesse besteht in Bereichen der Bauwerksüberwachung, da die Faser nahezu verlustfrei auf über 100 % gedehnt werden kann. Ein weiteres Sensorverfahren, basierend auf dem Frequenzbereichsansatz zur dynamischen und quasi-verteilten Messung von Längenänderungen und Leistungsänderungen zwischen Reflexpunkten in der Faser wird präsentiert. Basierend auf der Messung weniger Frequenzpunkte der komplexen Frequenzantwort der Messfaser können mehrere Reflexe gleichzeitig und unabhängig voneinander bezüglich Position und reflektierter optischer Leistung ausgewertet werden. Messfrequenzen bis zu 2 kHz können erreicht werden und Längenänderungsauflösungen im μm-Bereich bei kleineren Messfrequenzen sind möglich. Das Messverfahren wird auf systematische Fehlereinflüsse untersucht und anhand von Demonstratormessungen validiert. Messungen der Deformation eines Gebäudes auf einem Erdbebenversuchsstand demonstrieren die Möglichkeit der Feldanwendung des Verfahrens. Das vorgestellte I-OFDR Verfahren demonstriert konkurrenzfähige Messparameter für allgemeine und hochauflösende optische Rückstreumessungen und die vorgestellten faseroptischen Sensorprinzipien zeigen vielversprechende Perspektiven für Anwendungen z.B. in der Bauwerksüberwachung. N2 - In this thesis, an alternative approach to the well-known optical time domain reflectometry (OTDR) technique is presented. A thorough analysis regarding distributed backscatter measurement in optical fibres is provided and its prospects for optical fibre sensing applications are demonstrated and discussed. The measurement approach is referred to as incoherent optical frequency domain reflectometry (I-OFDR): the frequency response of the fibre under test is measured and transferred into its time domain equivalent using inverse Fourier transform. This general technique has been studied and used for the measurement of nonlinear scattering effects in optical fibres. The requirements, limitations and prospects for general backscatter measurement, however, are different and have not been studied in detail prior to this work. Distributed sensing using Rayleigh scattering and reflective events in the fibre is first demonstrated using I-OFDR with remarkable measurement resolution. The incoherent detection technique allows for measuring singlemode fibres as well as multimode fibres. The first part of this work deals with the theoretical analysis and optimized implementation of the frequency domain approach. Necessary signal processing and its impact on the time domain response are presented. Sources of deviation from the linearity of the I-OFDR system are identified and an optimized laboratory setup is introduced; the crucial impact of the source coherence is thoroughly discussed. Suitable system parameters for the I-OFDR approach are defined: the system dynamic range and sensitivity are determined. A technique to suppress the dynamic range-limiting signal originating from strong reflections in the fibre is suggested. It is demonstrated that the I-OFDR technique has advantages over OTDR in terms of implementation for high-resolution measurement, measurement accuracy and signal stability. These advantages and measurement possibilities specific to the frequency domain approach are utilized for spatially resolved sensing applications in the second part of this work: A low optical loss polymer optical fibre (POF) is for the first time studied and analyzed for distributed strain sensing. The backscatter level dependence on strain in the fibre can be used to detect and locate strained fibre sections. Also, a correlation algorithm is proposed and demonstrated to measure length changes along the fibre with mm-resolution by correlating the typical backscatter signature of this fibre type. The fibre type is analyzed in detail regarding cross-sensitivities to temperature, relative humidity as well as mode propagation influences. The proposed sensing principles in combination with the highresolution I-OFDR allow for promising distributed sensing applications. Special interest is expressed by the structural health monitoring (SHM) sector since the fibre can measure strain values exceeding 100 %. Another sensing technique, specific to I-OFDR, is proposed for quasi-distributed and dynamic measurement of length changes and optical power changes at reflective events along the fibre. Precise calculation of the positions and reflected powers of multiple reflections can be conducted in parallel from the measurement of a few sampling points of the complex-valued frequency response. That allows for measuring with an increased repetition rate up to 2 kHz or at μm-scale length changes resolution at lower measurement frequencies. The approach is demonstrated in the laboratory and in a field application by measuring the deformation of a masonry building on a seismic shaking table. The I-OFDR exhibits competitive performance for general high-resolution backscatter measurement and the proposed optical fibre sensor principles may have promising prospects in the structural health monitoring (SHM) sector. T3 - BAM Dissertationsreihe - 125 KW - optical fiber sensor KW - OFDR KW - distributed backscatter measurement KW - polymer optical fiber (POF) sensor KW - structural health monitoring PY - 2015 UR - https://nbn-resolving.org/urn:nbn:de:kobv:b43-4660 SN - 978-3-9816668-4-7 VL - 125 SP - 1 EP - 144 PB - Bundesanstalt für Materialforschung und -prüfung (BAM) CY - Berlin AN - OPUS4-466 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Kern, Simon A1 - Liehr, Sascha A1 - Wander, Lukas A1 - Bornemann-Pfeiffer, Martin A1 - Müller, S. A1 - Maiwald, Michael A1 - Kowarik, Stefan T1 - Artificial neural networks for quantitative online NMR spectroscopy N2 - Industry 4.0 is all about interconnectivity, sensor-enhanced process control, and data-driven systems. Process analytical technology (PAT) such as online nuclear magnetic resonance (NMR) spectroscopy is gaining in importance, as it increasingly contributes to automation and digitalization in production. In many cases up to now, however, a classical evaluation of process data and their transformation into knowledge is not possible or not economical due to the insufficiently large datasets available. When developing an automated method applicable in process control, sometimes only the basic data of a limited number of batch tests from typical product and process development campaigns are available. However, these datasets are not large enough for training machine-supported procedures. In this work, to overcome this limitation, a new procedure was developed, which allows physically motivated multiplication of the available reference data in order to obtain a sufficiently large dataset for training machine learning algorithms. The underlying example chemical synthesis was measured and analyzed with both application-relevant low-field NMR and high-field NMR spectroscopy as reference method. Artificial neural networks (ANNs) have the potential to infer valuable process information already from relatively limited input data. However, in order to predict the concentration at complex conditions (many reactants and wide concentration ranges), larger ANNs and, therefore, a larger Training dataset are required. We demonstrate that a moderately complex problem with four reactants can be addressed using ANNs in combination with the presented PAT method (low-field NMR) and with the proposed approach to generate meaningful training data. KW - Online NMR spectroscopy KW - Real-time process monitoring KW - Artificial neural networks KW - Automation KW - Process industry PY - 2020 UR - https://nbn-resolving.org/urn:nbn:de:kobv:b43-507508 DO - https://doi.org/10.1007/s00216-020-02687-5 SN - 1618-2642 VL - 412 IS - 18 SP - 4447 EP - 4459 PB - Springer CY - Berlin AN - OPUS4-50750 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - GEN A1 - Kern, Simon A1 - Liehr, Sascha A1 - Wander, Lukas A1 - Bornemann-Pfeiffer, Martin A1 - Müller, S. A1 - Maiwald, Michael A1 - Kowarik, Stefan T1 - Training data of quantitative online NMR spectroscopy for artificial neural networks N2 - Data set of low-field NMR spectra of continuous synthesis of nitro-4’-methyldiphenylamine (MNDPA). 1H spectra (43 MHz) were recorded as single scans. Two different approaches for the generation of artificial neural networks training data for the prediction of reactant concentrations were used: (i) Training data based on combinations of measured pure component spectra and (ii) Training data based on a spectral model. Synthetic low-field NMR spectra First 4 columns in MAT-files represent component areas of each reactant within the synthetic mixture spectrum. Xi (“pure component spectra dataset”) Xii (“spectral model dataset”) Experimental low-field NMR spectra from MNDPA-Synthesis This data set represents low-field NMR-spectra recorded during continuous synthesis of nitro-4’-methyldiphenylamine (MNDPA). Reference values from high-field NMR results are included. KW - NMR spectroscopy KW - Real-time process monitoring KW - Artificial neural networks KW - Online NMR spectroscopy KW - Automation KW - Process industry PY - 2020 DO - https://doi.org/10.5281/zenodo.3677139 PB - Zenodo CY - Geneva AN - OPUS4-50456 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - GEN A1 - Liehr, Sascha T1 - ANNforPAT - Artificial Neural Networks for Process Analytical Technology N2 - This code accompanies the paper "Artificial neural networks for quantitative online NMR spectroscopy" published in Analytical and Bioanalytical Chemistry (2020). KW - Artificial neural networks KW - Automation KW - Online NMR spectroscopy KW - Process industry KW - Real-time process monitoring PY - 2020 UR - https://github.com/BAMresearch/ANNforPAT PB - GitHub CY - San Francisco AN - OPUS4-54481 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Fricke, F. A1 - Mahmood, S. A1 - Hoffmann, J. A1 - Brandalero, M. A1 - Liehr, Sascha A1 - Kern, Simon A1 - Meyer, Klas A1 - Kowarik, Stefan A1 - Westerdicky, S. A1 - Maiwald, Michael A1 - Hübner, M. T1 - Artificial Intelligence for Mass Spectrometry and Nuclear Magnetic Resonance Spectroscopy N2 - Mass Spectrometry (MS) and Nuclear Magnetic Resonance Spectroscopy (NMR) are critical components of every industrial chemical process as they provide information on the concentrations of individual compounds and by-products. These processes are carried out manually and by a specialist, which takes a substantial amount of time and prevents their utilization for real-time closed-loop process control. This paper presents recent advances from two projects that use Artificial Neural Networks (ANNs) to address the challenges of automation and performance-efficient realizations of MS and NMR. In the first part, a complete toolchain has been developed to develop simulated spectra and train ANNs to identify compounds in MS. In the second part, a limited number of experimental NMR spectra have been augmented by simulated spectra to train an ANN with better prediction performance and speed than state-of-theart analysis. These results suggest that, in the context of the digital transformation of the process industry, we are now on the threshold of a possible strongly simplified use of MS and MRS and the accompanying data evaluation by machine-supported procedures, and can utilize both methods much wider for reaction and process monitoring or quality control. T2 - 2021 Design, Automation & Test in Europe Conference & Exhibition (DATE) CY - Online meeting DA - 01.02.2021 KW - Industry 4.0 KW - Cyber-Physical Systems KW - Artificial Neural Networks KW - Mass Spectrometry KW - Nuclear Magnetic Resonance Spectroscopy PY - 2021 UR - www.date-conference.com SN - 978-3-9819263-5-4 SP - 615 EP - 620 PB - Research Publishing AN - OPUS4-52180 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Krebber, Katerina A1 - Lenke, Philipp A1 - Liehr, Sascha A1 - Witt, Jens A1 - Schukar, Marcus A1 - Large, M. A1 - Thiel, T. T1 - Technology and Applications of Smart Technical Textiles Based on POF T2 - 17th International Conference on Plastic Optical Fibers (POF 2008), August 25-28, 2008 CY - Santa Clara, California, USA DA - 2008-08-25 KW - Fiber optic sensors KW - Polymer optical fibers (POF) KW - POF sensors KW - Smart technical textiles PY - 2008 SP - 1 EP - 10 AN - OPUS4-17870 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Krebber, Katerina A1 - Lenke, Philipp A1 - Liehr, Sascha A1 - Nöther, Nils A1 - Schukar, Marcus A1 - Wendt, Mario A1 - Witt, Jens A1 - Wosniok, Aleksander T1 - Technology and applications of smart technical textiles based on fibre optic sensors N2 - Technical textiles with embedded fibre optic sensors habe been developed for the purposes of the structural health monitoring in geotechnical and civil engineering as well as for healthcare monitoring in the medical sector. The paper shows selected examples of using such sensor-based smart textiles for different applications. T2 - International conference "Optical sensors" CY - Karlsruhe, Germany DA - 2010-06-21 PY - 2010 IS - STuC2.pdf SP - 1 EP - 2(?) AN - OPUS4-21567 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Liehr, Sascha A1 - Jäger, L. A. A1 - Karapanagiotis, Christos A1 - Münzenberger, Sven A1 - Kowarik, Stefan T1 - Real-time dynamic strain sensing in optical fibers using artificial neural networks N2 - We propose to use artificial neural networks (ANNs) for raw measurement data interpolation and signal shift computation and to demonstrate advantages for wavelength-scanning coherent optical time domain reflectometry (WS-COTDR) and dynamic strain distribution measurement along optical fibers. The ANNs are trained with synthetic data to predict signal shifts from wavelength scans. Domain adaptation to measurement data is achieved, and standard correlation algorithms are outperformed. First and foremost, the ANN reduces the data analysis time by more than two orders of magnitude, making it possible for the first time to predict strain in real-time applications using the WS-COTDR approach. Further, strain noise and linearity of the sensor response are improved, resulting in more accurate measurements. ANNs also perform better for low signal-to-noise measurement data, for a reduced length of correlation input (i.e., extended distance range), and for coarser sampling settings (i.e., extended strain scanning range). The general applicability is demonstrated for distributed measurement of ground movement along a dark fiber in a telecom cable. The presented ANN-based techniques can be employed to improve the performance of a wide range of correlation or interpolation problems in fiber sensing data analysis and beyond. KW - Distributed vibration sensing KW - Distributed acoustic sensing KW - Coherent optical time domain reflectometry KW - Optical fiber sensor KW - Artificial neural network KW - Real time measurement KW - Distributed strain sensing PY - 2019 UR - https://nbn-resolving.org/urn:nbn:de:kobv:b43-474832 UR - https://www.osapublishing.org/oe/abstract.cfm?uri=oe-27-5-7405 DO - https://doi.org/10.1364/OE.27.007405 SN - 1094-4087 VL - 27 IS - 5 SP - 7405 EP - 7425 PB - Optical Society of America AN - OPUS4-47483 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Liehr, Sascha A1 - Münzenberger, Sven A1 - Krebber, Katerina T1 - Wavelength-scanning distributed acoustic sensing for structural monitoring and seismic applications N2 - We introduce wavelength-scanning coherent optical time domain reflectometry (WS-COTDR) for dynamic vibration sensing along optical fibers. The method is based on spectral shift computation from Rayleigh backscatter spectra. Artificial neural networks (ANNs) are used for fast and high-resolution strain computation from raw measurement data. The applicability of the method is demonstrated for vibration monitoring of a reinforced concrete bridge. We demonstrate another application example for quasi-static and dynamic measurement of ground deformation and surface wave propagation along a dark fiber in a telecommunication cable. T2 - 7th International Symposium on Sensor Science CY - Napoli, Italy DA - 09.05.2019 KW - Optical fiber sensor KW - Distributed acoustic sensor (DAS) KW - Optical time domain reflectometry KW - Rayleigh scattering KW - Artificial neural networks KW - Structural health monitoring KW - Seismic measurement PY - 2019 UR - https://nbn-resolving.org/urn:nbn:de:kobv:b43-487733 DO - https://doi.org/10.3390/proceedings2019015030 SN - 2504-3900 VL - 15 SP - Paper 30, 1 EP - 5 PB - MDPI CY - Basel AN - OPUS4-48773 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Liehr, Sascha T1 - Wavelength-scanning distributed acoustic sensing for structural monitoring and seismic applications N2 - We introduce wavelength-scanning coherent optical time domain reflectometry (WS-COTDR) for dynamic vibration sensing along optical fibers. The method is based on spectral shift computation from Rayleigh backscatter spectra. Artificial neural networks (ANNs) are used for fast and high-resolution strain computation from raw measurement data. The applicability of the method is demonstrated for vibration monitoring of a reinforced concrete bridge. We demonstrate another application example for quasi-static and dynamic measurement of ground deformation and surface wave propagation along a dark fiber in a telecommunication cable. T2 - 7th International Symposium on Sensor Science CY - Napoli, Italy DA - 09.05.2019 KW - Optical fiber sensor KW - Distributed acoustic sensor (DAS) KW - Optical time domain reflectometry KW - Rayleigh scattering KW - Artificial neural networks KW - Structural health monitoring KW - Seismic measurement PY - 2019 AN - OPUS4-48774 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Schreier, Andy A1 - Liehr, Sascha A1 - Wosniok, Aleksander A1 - Krebber, Katerina T1 - Comparison of solution approaches for distributed humidity sensing in perfuorinated graded-index polymer optical fibers N2 - We compare four different sensing solutions suitable for distributed fiber optic humidity sensing in per uorinated graded-index polymer optical fibers (PFGI-POFs). Compared to silica fbers, polymer optical fibers over advantageous beneffits including signifficantly higher break down strain, fracture toughness and humidity sensitivity. Various humidity-related effects in PFGI-POFs have been reported in the last years including measured attenuation and length changes as well as Brillouin frequency and Bragg wavelength shifts. The four aforementioned methods could serve as a basis for distributed and quasi-distributed humidity sensing and are described here closely with an emphasis on plausible cross effects to temperature and strain. The main focus of this paper lies on the comparison of four approaches with regard to method complexity, sensitivity to humidity, spatial resolution, real-time capability and effort to compensate for cross effects. T2 - SPIE Optics + Optoelectronics CY - Prague, Czech Republic DA - 01.04.2019 KW - Distributed sensing KW - Humidity KW - Polymer optical fibre PY - 2019 SN - 978-1-5106-2723-9 DO - https://doi.org/10.1117/12.2522307 SN - 0277-786X SN - 1996-756X SP - 1102808-1 EP - 1102808-9 PB - SPIE AN - OPUS4-47844 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Greco, A. A1 - Starostin, V. A1 - Karapanagiotis, Christos A1 - Hinderhofer, A. A1 - Gerlach, A. A1 - Pithan, L. A1 - Liehr, Sascha A1 - Schreiber, Frank A1 - Kowarik, Stefan T1 - Fast fitting of reflectivity data of growing thin films using neural networks N2 - X-ray reflectivity (XRR) is a powerful and popular scattering technique that can give valuable insight into the growth behavior of thin films. This study Shows how a simple artificial neural network model can be used to determine the thickness, roughness and density of thin films of different organic semiconductors [diindenoperylene, copper(II) phthalocyanine and alpha-sexithiophene] on silica from their XRR data with millisecond computation time and with minimal user input or a priori knowledge. For a large experimental data set of 372 XRR curves, it is shown that a simple fully connected model can provide good results with a mean absolute percentage error of 8–18% when compared with the results obtained by a genetic least mean squares fit using the classical Parratt formalism. Furthermore, current drawbacks and prospects for improvement are discussed. KW - Artificial neural networks KW - X-ray reflectivity PY - 2019 UR - https://nbn-resolving.org/urn:nbn:de:kobv:b43-498997 DO - https://doi.org/10.1107/S1600576719013311 SN - 1600-5767 VL - 52 SP - 1342 EP - 1347 PB - Wiley AN - OPUS4-49899 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Liehr, Sascha T1 - Distributed Humidity Sensing in PMMA Polymer Optical Fibers N2 - The distributed measurement of relative humidity is a sought-after capability for a wide range of applications in civil engineering and structural health monitoring. We show that polymethyl methacrylate (PMMA) optical fi-bers can be employed as a sensor medium to conduct distributed humidity measurement by analyzing Rayleigh backscattering traces obtained by OTDR. We make use of the effect that water penetrates the fiber core and directly influences the local fiber attenuation and Rayleigh backscatter coefficient. We conducted distributed backscattering analysis for two different pulse wavelengths: 500 nm and 650 nm. The 650 nm results are susceptible to both, attenuation changes and backscatter changes, whereas backscatter results at 500 nm are not affected by humidity-induced attenuation and only exhibit a change of Rayleigh backscattered power as a function of humidity. The combined measurement and analysis of both parameters at these two wavelengths has the advantage that cross-sensitivities on backscatter change and attenuation, such as strain and tempera-ture changes, could be separated from the humidity response of the fiber. We present laboratory results for a humidity range between 30% and 90% for both pulse wavelengths: including step responses, humidity cycles and hysteresis analysis. In addition to the attenuation and backscatter coefficient dependence, we also analyze optical runtime changes as a function of humidity. POFs have the advantage that they can be directly embed-ded into materials such as concrete or soil to measure water content or localize water ingress. Standard step-index PMMA POFs can be used as a distributed relative humidity sensor up to 200 m distance. T2 - The 28th International Conference on Plastic Optical Fibers CY - Yokohama, Japan DA - 20.11.2019 KW - Distributed humidity sensor KW - PMMA KW - Rayleigh scattering KW - Polymer optical fiber KW - Distributed sensor KW - Optical fiber sensor KW - OTDR PY - 2019 AN - OPUS4-49868 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Liehr, Sascha T1 - Real-time dynamic strain sensing in optical fibers using artificial neural networks N2 - The use of artificial neural networks (ANNs) is demonstrated for efficient real-time data processing in optical fiber sensing applications. Using ANN-based algorithms, two orders of magnitude improved computation time and improved measurement resolution is achieved for distributed strain sensing using the wavelength-scanning coherent optical time domain reflectometry technique. T2 - WORKSHOP - Machine learning in optical analytics CY - Berlin, Germany DA - 13.11.2019 KW - Artificial neural networks KW - Distributed acoustic sensing (DAS) KW - Distributed vibration sensing KW - Signal processing PY - 2019 AN - OPUS4-49869 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Liehr, Sascha A1 - Breithaupt, Mathias A1 - Krebber, Katerina T1 - Distributed humidity sensing in PMMA optical fibers at 500 nm and 650 nm wavelengths N2 - Distributed measurement of humidity is a sought-after capability for various fields of application, especially in the civil engineering and structural health monitoring sectors. This article presents a method for distributed humidity sensing along polymethyl methacrylate (PMMA) polymer optical fibers (POFs) by analyzing wavelength-dependent Rayleigh backscattering and attenuation characteristics at 500 nm and 650 nm wavelengths. Spatially resolved humidity sensing is obtained from backscatter traces of a dual-wavelength optical time domain reflectometer (OTDR). Backscatter dependence, attenuation dependence as well as the fiber length change are characterized as functions of relative humidity. Cross-sensitivity effects are discussed and quantified. The evaluation of the humidity-dependent backscatter effects at the two wavelength measurements allows for distributed and unambiguous measurement of relative humidity. The technique can be readily employed with low-cost standard polymer optical fibers and commercial OTDR devices. KW - Optical fiber sensor KW - Humidity sensor KW - Distributed sensor KW - Polymer optical fiber KW - Rayleigh scattering PY - 2017 UR - https://nbn-resolving.org/urn:nbn:de:kobv:b43-396363 UR - http://www.mdpi.com/1424-8220/17/4/738 DO - https://doi.org/10.3390/s17040738 SN - 1424-8220 VL - 17 IS - 4 SP - Article 738, 1 EP - 12 PB - MDPI CY - Basel, Switzerland AN - OPUS4-39636 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Liehr, Sascha A1 - Krebber, Katerina T1 - Application of quasi-distributed and dynamic length and power change measurement using optical frequency domain reflectometry N2 - Application results of a dynamic technique for simultaneous measurement of length changes and optical power changes between multiple reflection points in an optical fiber are presented. The technique is based on incoherent optical frequency domain reflectometry (I-OFDR) and allows for measuring for example length changes and optical power changes quasi-distributed at repetition rates up to 2 kHz. Precise measurement with length change resolutions in the µm-range can be conducted using standard single-mode or multi-mode fibers. Previous results of dynamic refractive index change measurement and the use of polymer optical fibers for high-strain measurement are concluded and possible sources of measurement inaccuracies are discussed. Field test results with sensors installed on a masonry building during a seismic shake test are presented. The versatility and simplicity of this technique makes it potentially interesting for application in the structural health monitoring sector and chemical process control. KW - Distributed strain sensor KW - Dynamic measurement KW - Optical fiber sensor KW - Refractive index sensors KW - Structural health monitoring PY - 2012 DO - https://doi.org/10.1109/JSEN.2011.2157126 SN - 1530-437X SN - 1558-1748 VL - 12 IS - 1 SP - 237 EP - 245 CY - New York, NY, USA AN - OPUS4-25565 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Krebber, Katerina A1 - Liehr, Sascha A1 - Witt, Jens ED - Liao, Y. ED - Jin, W. ED - Sampson, D.D. ED - Yamauchi, R. ED - Chung, Y. ED - Nakamura, K. ED - Rao, Y. T1 - Smart technical textiles based on fiber optic sensors N2 - Smart technical textiles containing fiber optic sensors have been developed and successfully demonstrated for the purposes of the structural health monitoring in geotechnical and civil engineering as well as for healthcare monitoring in the medical sector. The paper highlights the results achieved in this innovative field in the framework of several German and European projects and shows selected examples of using such fiber-sensor-based technical textiles in different geotechnical and medical applications. T2 - OFS2012 - 22nd International conference on optical fiber sensors CY - Beijing, China DA - 15.10.2012 KW - Fiber optic sensor KW - Distributed fiber optic sensor KW - Polymer optical fibers (POF) KW - POF sensor KW - POF OTDR KW - Technical textiles KW - Geotextiles KW - Medical textiles PY - 2012 DO - https://doi.org/10.1117/12.981342 SN - 0277-786X SN - 1996-756X N1 - Serientitel: Proceedings of SPIE – Series title: Proceedings of SPIE IS - 8421 SP - 84212A-1 EP - 84212A-10 PB - SPIE, the International Society for Optical Engineering CY - Bellingham, Wash. AN - OPUS4-26915 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Krebber, Katerina A1 - Lenke, Philipp A1 - Liehr, Sascha A1 - Nöther, N. A1 - Wendt, Mario A1 - Wosniok, Aleksander A1 - Daum, Werner T1 - Structural health monitoring by distributed fiber optic sensors embedded into technical textiles N2 - Technical textiles with embedded distributed fiber optic sensors have been developed for the purposes of structural health monitoring in geotechnical and civil engineering. The distributed fiber optic sensors are based on Brillouin scattering in silica optical fibers and OTDR in polymer optical fibers. Such 'smart' technical textiles are used for reinforcement of geotechnical and masonry structures. The embedded fiber optic sensors provide online information about the condition of the structure and about the occurrence and location of any damage or degradation. N2 - Technische Textilien mit integrierten faseroptischen Sensoren eröffnen neue Möglichkeiten der Zustandsüberwachung (structural health monitoring) in Geotechnik und Ingenieurbau. Die verteilt messenden Sensoren basieren auf der Brillouin-Streuung in Glasfasern und auf der OTDR in polymeroptischen Fasern. Derartige 'intelligente' technische Textilien werden in erster Line zur Verstärkung von geotechnischen Bauwerken und von Gebäuden genutzt. Die integrierten Sensoren liefern eine zeitnahe Information über den bestimmungsgemäßen Zustand des Bauwerks sowie über die Entstehung und den Ort von lokalen Bauwerksschäden. KW - Fiber optic sensor KW - Distributed sensor KW - Brillouin scattering KW - Polymer optical fiber KW - Strain sensor KW - Smart geotextiles KW - Faseroptischer Sensor KW - Verteilter Sensor KW - Brillouin-Streuung KW - Polymeroptische Faser KW - Dehnungssensor KW - Intelligentes Geotextil PY - 2012 DO - https://doi.org/10.1524/teme.2012.0238 SN - 0340-837X SN - 0178-2312 SN - 0171-8096 VL - 79 IS - 7-8 SP - 337 EP - 347 PB - Oldenbourg CY - München AN - OPUS4-26387 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Liehr, Sascha A1 - Burgmeier, J. A1 - Krebber, Katerina A1 - Schade, W. ED - Liao, Y. ED - Jin, W. ED - Sampson, D.D. ED - Yamauchi, R. ED - Chung, Y. ED - Nakamura, K. ED - Rao, Y. T1 - Fiber optic bend and temperature sensing in femtosecond laser-structured POF N2 - We propose focused femtosecond laser irradiation to create stable and permanent scattering damage in large-core polymer optical fibers. Possible sensing applications using optical time domain reflectometry are discussed and presented. Experiments show that quasi-distributed fiber bend sensors and absolute temperature sensors can be realized by evaluating backscatter intensities. T2 - OFS2012 - 22nd International conference on optical fiber sensors CY - Beijing, China DA - 15.10.2012 KW - Polymer optical fiber KW - POF KW - Optical fiber sensors KW - Bend sensor KW - Temperature sensor KW - Femtosecond laser KW - OTDR KW - Reflectometry PY - 2012 DO - https://doi.org/10.1117/12.976051 SN - 0277-786X SN - 1996-756X N1 - Serientitel: Proceedings of SPIE – Series title: Proceedings of SPIE IS - 8421 SP - 84213I-1 EP - 84213I-4 PB - SPIE, the International Society for Optical Engineering CY - Bellingham, Wash. AN - OPUS4-27221 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER -