In-flight vibration-based structural health monitoring of aircraft wings
- This work presents a methodology for automated damage-sensitive feature extraction and anomaly detection under multivariate operational variability for in-flight assessment of wings. The method uses a passive excitation approach, i. e. without the need for artificial actuation. The modal system properties (natural frequencies and damping ratios) are used as damage-sensitive features. Special emphasis is placed on the use of Fiber Bragg Grating (FBG) sensing technology and the consideration of Operational and Environmental Variability (OEV). Measurements from a wind tunnel investigation with a composite cantilever equipped with FBG and piezoelectric sensors are used to successfully detect an impact damage. In addition, the feasibility of damage localisation and severity estimation is evaluated based on the coupling found between damageand OEV-induced feature changes.
| Verfasserangaben: | Eugen Neu, Frank Janser, Akbar A. Khatibi, Adrian C. Orifici |
|---|---|
| Titel des übergeordneten Werkes (Englisch): | 30th Congress of the internatonal council of the aeronautical sciences : 25.-30. September 2016, Daejeon, Korea |
| Dokumentart: | Konferenzveröffentlichung |
| Sprache: | Englisch |
| Erscheinungsjahr: | 2016 |
| Datum der Publikation (Server): | 11.04.2017 |
| Umfang: | 10 Seiten |
| Link: | http://webcache.googleusercontent.com/search?q=cache:ZyX8ErUw5ZsJ:www.icas.org/ICAS_ARCHIVE/ICAS2016/data/papers/2016_0404_paper.pdf+&cd=1&hl=de&ct=clnk&gl=de |
| Zugriffsart: | weltweit |
| Fachbereiche und Einrichtungen: | FH Aachen / ECSM European Center for Sustainable Mobility |
| FH Aachen / Fachbereich Luft- und Raumfahrttechnik |
