Conference Proceeding
Refine
Year of publication
Institute
- Fachbereich Elektrotechnik und Informationstechnik (302)
- Fachbereich Energietechnik (259)
- Fachbereich Medizintechnik und Technomathematik (243)
- Fachbereich Luft- und Raumfahrttechnik (209)
- Fachbereich Maschinenbau und Mechatronik (209)
- Solar-Institut Jülich (167)
- IfB - Institut für Bioengineering (152)
- Fachbereich Bauingenieurwesen (139)
- Fachbereich Wirtschaftswissenschaften (73)
- ECSM European Center for Sustainable Mobility (62)
- INB - Institut für Nano- und Biotechnologien (52)
- MASKOR Institut für Mobile Autonome Systeme und Kognitive Robotik (48)
- Fachbereich Chemie und Biotechnologie (35)
- Nowum-Energy (22)
- Kommission für Forschung und Entwicklung (17)
- Fachbereich Architektur (16)
- ZHQ - Bereich Hochschuldidaktik und Evaluation (10)
- FH Aachen (7)
- Fachbereich Gestaltung (4)
- IaAM - Institut für angewandte Automation und Mechatronik (3)
- Arbeitsstelle fuer Hochschuldidaktik und Studienberatung (2)
- Institut fuer Angewandte Polymerchemie (2)
- Verwaltung (2)
- Digitalisierung in Studium & Lehre (1)
- Freshman Institute (1)
- Kommission für Planung und Finanzen (1)
- Senat (1)
Language
- English (1171)
- German (477)
- Italian (1)
- Multiple languages (1)
- Spanish (1)
Document Type
- Conference Proceeding (1651) (remove)
Keywords
- Biosensor (25)
- Blitzschutz (15)
- CAD (11)
- Finite-Elemente-Methode (11)
- civil engineering (11)
- Bauingenieurwesen (10)
- Lightning protection (9)
- Einspielen <Werkstoff> (6)
- Telekommunikationsmarkt (6)
- shakedown analysis (6)
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.
The impact of wake model effects is investigated for two highly
non-planar lifting systems. Dependent on the geometrical
arrangement of the configuration, the wake model shape is found
to considerably affect the estimation. Particularly at higher angles
of attack, an accurate estimation based on the common linear wake
model approaches is involved.