A contribution to intelligent automatic validation of structure-integrated fibre optic strain sensors
- Sensors integrated into devices and structures provide essential data to control, optimize or manage machines and structural components. In the last years, processes, applications and machine parts became more and more intelligent. Consequently, the need for sensor validation increased significantly in order to rely on sensor data and measurement results. Structure-integrated fibre optic strain sensors, such as fiber Bragg gratings (FBG), are of special interest in the composite manufacturing industry. This type of sensor makes it possible to gain information and to collect measurement data about entire production processes and whole life-time cycles of composite-made machine parts and structures. However, validation concepts and approaches for this type of sensors are barely reported in literature. Furthermore, all the reported activities have the drawback that the sensor diagnosis strategy is implemented as limited mathematical models and/or complex time-consuming spectral analysisSensors integrated into devices and structures provide essential data to control, optimize or manage machines and structural components. In the last years, processes, applications and machine parts became more and more intelligent. Consequently, the need for sensor validation increased significantly in order to rely on sensor data and measurement results. Structure-integrated fibre optic strain sensors, such as fiber Bragg gratings (FBG), are of special interest in the composite manufacturing industry. This type of sensor makes it possible to gain information and to collect measurement data about entire production processes and whole life-time cycles of composite-made machine parts and structures. However, validation concepts and approaches for this type of sensors are barely reported in literature. Furthermore, all the reported activities have the drawback that the sensor diagnosis strategy is implemented as limited mathematical models and/or complex time-consuming spectral analysis tools which are applied in data post-processing loops. However, to automate sensor validation and to apply real-time and in-field sensor fault detection, it is necessary to acquire measurement data and information about the measurement reliability at the same time.…
Autor*innen: | Vivien Schukar, Enrico Köppe, Detlef Hofmann, Anja Westphal, Mario Sahre, Uwe Beck, Xing Gong, Matthias BartholmaiORCiD |
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Persönliche Herausgeber*innen: | Alexandra Aulova, A. Rogelj Ritonja, I. Emri |
Dokumenttyp: | Beitrag zu einem Tagungsband |
Veröffentlichungsform: | Graue Literatur |
Sprache: | Englisch |
Titel des übergeordneten Werkes (Englisch): | 33rd Danubia- Adria Symposium on Advances in Experimental Mechanics - BOOK OF ABSTRACTS |
Jahr der Erstveröffentlichung: | 2016 |
Herausgeber (Institution): | Narodna in univerzitetna knjižnica, Ljubljana |
Verlagsort: | Ljubljana |
Erste Seite: | 180 |
Letzte Seite: | 181 |
DDC-Klassifikation: | Naturwissenschaften und Mathematik / Chemie / Analytische Chemie |
Freie Schlagwörter: | Fiber bragg grating; Magnetic field; Magnetostrictive metal coating; Self-diagnostic fiber optical sensor |
Veranstaltung: | 33rd Danubia- Adria Symposium on Advances in Experimental Mechanics |
Veranstaltungsort: | Portorož, Slovenia |
Beginndatum der Veranstaltung: | 20.09.2016 |
Enddatum der Veranstaltung: | 23.09.2016 |
ISBN: | 978-961-94081-0-0 |
Verfügbarkeit des Dokuments: | Datei im Netzwerk der BAM verfügbar ("Closed Access") |
Datum der Freischaltung: | 05.10.2016 |
Referierte Publikation: | Nein |