TY - CONF A1 - Köppe, Enrico A1 - Bartholmai, Matthias A1 - Liers, A. A1 - Schiller, J. T1 - Tracking persons using a radio-based multi-sensor system N2 - A multi-sensor system for 3D localization was developed and named BodyGuard. It combines body movement sensing and a guard system for the tracking and recording of the status of persons. BodyGuard was designed to monitor and transmit the movement of a person radio-based and to transform that data into a spatial coordinate. This paper describes how the BodyGuard system works, what components the system consists of, how the individual sensor data is converted into 3D motion data, with which algorithms the individual sensors are processed, how individual errors are compensated and how the sensor data are fused into a 3D Model. T2 - IPIN 2011 - International conference on indoor positioning and indoor navigation CY - Guimaraes, Portugal DA - 21.09.2011 KW - Wireless sensor network (WSN) KW - Embedded systems KW - Sensor calibration and validation KW - Person tracking KW - Inertial navigation system KW - Inertial measurement unit PY - 2011 SP - 1 EP - 4 AN - OPUS4-24402 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Köppe, Enrico A1 - Bartholmai, Matthias A1 - Prager, Jens T1 - Device concept for the generation of guided waves for early damage detection N2 - In this study a method for early damage detection is investigated based on the directed excitation and measuring of Lamb waves (guided waves). The objective is to make a statement about the practicability of a Lamb wave generator (LWG) and about the application relevant parameters (specimen materials and dimensions, wave characteristics, excitation, transmission und reflection). Guided waves enable an effective differentiation of structural and defective indications as well as a classification of different defect types. For the investigations, a LWG was developed which combines the advantages of the single excitation of a piezoelectric actuator and the possibility of a group excitation. Algorithms were developed to identify and analyze damage patterns (cracks, wholes, weakening). T2 - Eurosensors XXVI CY - Kraków, Poland DA - 2012-09-09 KW - Lamb wave KW - Guided wave KW - DDS KW - SHM KW - Early damage detection PY - 2012 DO - https://doi.org/10.1016/j.proeng.2012.09.363 SN - 1877-7058 VL - 47 SP - 1185 EP - 1188 PB - Elsevier AN - OPUS4-27552 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Bartholmai, Matthias A1 - Köppe, Enrico A1 - Prager, Jens ED - Boller, C. T1 - Early damage detection of structural defects using guided waves N2 - Limited access to the object of relevance is often an essential problem in testing routines, e.g. for non-destructive testing of industry facilities or components of means of transportation. The presented project is about the development of a non-destructive testing method for application over great distances (up to 100 m). The method is based on directed excitation and measuring of Lamb waves (guided waves). It enables an effective differentiation of structural and defective indications as well as a classification of different defect types. The advantage of guided waves is the ability of propagation over great distances. This offers innovative possibilities for the investigation of large or difficult to access constructions. The testing method can be helpful in a broad variety of applications. It is useable for the characterization of plane or cylindrical, thin-walled surfaces of metal or fiber laminated materials. Particularly the investigation of aircraft wings and other aerospace components as well as the investigation of pipelines are addressed fields of application. T2 - EWSHM'12 - 6th European workshop on structural health monitoring 2012 CY - Dresden, Germany DA - 03.07.2012 KW - Lamb-waves KW - Ultrasound KW - Non-destructive evaluation KW - Early-damage-detection KW - Structural health monitoring PY - 2012 SN - 978-3-940283-41-2 VL - 2 SP - 1471 EP - 1478 CY - Berlin AN - OPUS4-26240 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Köppe, Enrico A1 - Bartholmai, Matthias T1 - Langzeitmonitoring und Schadensfrüherkennung an Bauwerken mit einem energieeffizienten Funkensensornetzwerk. T2 - Fachausschuss Zustandsüberwachung (FA SHM) bei Airbus Deutschland GmbH CY - Bremen, Germany DA - 2008-04-03 PY - 2008 AN - OPUS4-17198 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - GEN A1 - Bartholmai, Matthias A1 - Kammermeier, Michael A1 - Werner, Klaus-Dieter A1 - Homfeld, S.D. A1 - Köppe, Enrico T1 - Funkbasiertes Sensornetzwerk zur Schadensfrüherkennung an Bauwerken KW - Funksensorik KW - Sensornetzwerk KW - Schadensfrüherkennung KW - Strukturüberwachung PY - 2008 SN - 978-3-18-092011-5 SN - 0083-5560 N1 - Serientitel: VDI-Berichte – Series title: VDI-Berichte IS - 2011 SP - 587 EP - 592 PB - VDI-Verl. CY - Düsseldorf AN - OPUS4-17264 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - GEN A1 - Bartholmai, Matthias A1 - Köppe, Enrico A1 - Kammermeier, Michael A1 - Werner, Klaus-Dieter A1 - Homfeld, S.D. T1 - Funkbasiertes Sensornetzwerk zur Schadensfrüherkennung an Bauwerken T2 - Wireless Automation : funkgestützte Kommunikation in der industriellen Automatisierungstechnik ; Tagung Berlin CY - Berlin, Deutschland DA - 2008-02-28 KW - Funksensorik KW - Sensornetzwerk KW - Schadensfrüherkennung KW - Strukturüberwachung PY - 2008 SN - 978-3-18-092010-8 SN - 0083-5560 N1 - Serientitel: VDI-Berichte – Series title: VDI-Berichte IS - 2010 SP - 117 EP - 125 PB - VDI-Verl. CY - Düsseldorf AN - OPUS4-17137 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Bartholmai, Matthias A1 - Köppe, Enrico A1 - Neumann, Patrick P. T1 - Monitoring of hazardous scenarios using multi-sensor devices T2 - Sensordevices 2013 - The 4th International conference on sensor device technologies and applications CY - Barcelona, Spain DA - 2013-08-25 KW - Multi-sensor device KW - Hazardous scenarios KW - Data-fusion PY - 2013 SN - 978-1-61208-297-4 SP - 9 EP - 13 AN - OPUS4-29069 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Bartholmai, Matthias A1 - Köppe, Enrico ED - Urs Meier, ED - Bernadette Havranek, ED - Masoud Motavalli, T1 - Wireless sensor network for long-term structural health monitoring of buildings and infrastructures N2 - Damage commonly occurs in buildings when a component fails suddenly with a partial or total collapse as a consequence. This type of event leads to serious damage to property and if it is a bridge or a large hall, then people in particular are at risk. The often great age of bridges and the increasing volume of traffic (particularly heavy traffic) which they are expected to carry are in clear contradiction to each other. Thus the probability increases that the loadbearing capacity of a bridge decreases rapidly and often unnoticed with sometimes dire consequences. In order to prevent such accidents, the Federal Institute for Materials Research and Testing is currently developing a special radio-based, self-configuring measuring system in cooperation with the Berlin-based ScatterWeb Company. This measuring system consists of a number of identically designed sensor nodes which are self-sustaining, need no wiring, can act as both transmitters and receivers and are equipped with a special sensor technology making long-term monitoring of buildings or engineering facilities possible. The sensor unit uses strain gauges for stress analysis and contains interfaces for additional sensors. The system in particular applies to buildings and structures for transport and traffic and large-scale industrial facilities, where a subsequent wiring installation is difficult or impossible. T2 - 4th International conference on structural health monitoring of intelligent infrastructure CY - Zurich, Switzerland DA - 2009-07-22 KW - Funksensorik KW - Sensornetzwerk KW - Schadensfrüherkennung KW - Strukturüberwachung PY - 2009 IS - Paper 365 SP - 1 EP - 5 AN - OPUS4-19748 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Köppe, Enrico A1 - Kadoke, Daniel A1 - Schlüter, Vivien T1 - Strukturmonitoring am Beispiel von Flugzeugen mit Messverfahren der Fachgruppe "Mess- und Prüftechnik; Sensorik" T2 - Hannover-Messe CY - Hanover, Germany DA - 2010-04-19 PY - 2010 AN - OPUS4-22063 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Köppe, Enrico A1 - Bartholmai, Matthias A1 - Prager, Jens T1 - Früherkennung von Strukturschäden mittels geführter Lamb-Wellen T2 - 16. GMA/ITG-Fachtagung Sensoren und Messsysteme 2012 CY - Nuremberg, Germany DA - 2012-05-22 PY - 2012 AN - OPUS4-26801 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER -