Dokument-ID Dokumenttyp Autoren/innen Persönliche Herausgeber/innen Haupttitel Abstract Auflage Verlagsort Verlag Herausgeber (Institution) Erscheinungsjahr Titel des übergeordneten Werkes Jahrgang/Band ISBN Veranstaltung Veranstaltungsort Beginndatum der Veranstaltung Enddatum der Veranstaltung Ausgabe/Heft Erste Seite Letzte Seite URN DOI Lizenz Datum der Freischaltung OPUS4-37642 Posterpräsentation Bartholmai, Matthias; Schukar, Vivien Intelligent automatic validation of structure-integrated fibre optic strain sensors Identification of physical faulty fibre optic strain sensors embedded in safety-relevant structures or systems and detection of abnormal measurement data to prevent misinterpretation of critical operating parameters and misleading of management and control systems. 2016 33rd Danubia- Adria Symposium on Advances in Experimental Mechanics Portorož, Slovenia 20.09.2016 23.09.2016 2016-10-05 OPUS4-37645 Beitrag zu einem Tagungsband Schukar, Vivien; Köppe, Enrico; Hofmann, Detlef; Westphal, Anja; Sahre, Mario; Beck, Uwe; Gong, Xing; Bartholmai, Matthias Aulova, Alexandra; Rogelj Ritonja, A.; Emri, I. 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 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. Ljubljana Narodna in univerzitetna knjižnica, Ljubljana 2016 33rd Danubia- Adria Symposium on Advances in Experimental Mechanics - BOOK OF ABSTRACTS 978-961-94081-0-0 33rd Danubia- Adria Symposium on Advances in Experimental Mechanics Portorož, Slovenia 20.09.2016 23.09.2016 180 181 2016-10-05