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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.zeige mehrzeige weniger

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Metadaten
Autoren/innen:Vivien Schukar, Enrico Köppe, Detlef Hofmann, Anja Westphal, Mario Sahre, Uwe Beck, Xing Gong, Matthias Bartholmai
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
Organisationseinheit der BAM:6 Materialschutz und Oberflächentechnik
6 Materialschutz und Oberflächentechnik / 6.7 Oberflächenmodifizierung und -messtechnik
8 Zerstörungsfreie Prüfung
8 Zerstörungsfreie Prüfung / 8.1 Sensorik, mess- und prüftechnische Verfahren
8 Zerstörungsfreie Prüfung / 8.6 Faseroptische Sensorik
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
Themenfelder/Aktivitätsfelder der BAM:Analytical Sciences
Analytical Sciences / Sensorik
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