Paper
8 April 2008 A damage classification technique for impedance-based health monitoring of helicopter blades
Author Affiliations +
Abstract
One of the most sensitive problems regarding the application of SHM (Structural Health Monitoring) is found in the aeronautical segment. This field presents the necessity of monitoring small structural changes representing damage, due both to economic aspects and safety. In this contribution two helicopter blade structures (pertaining to a civil and a military helicopter) are studied. In both cases, two types of damage are inserted, namely holes and cracks. Through the impedance-based structural health monitoring method, an identification procedure using cluster analysis techniques was performed aiming at distinguishing these two types of damage. Then, a meta-model based on a probabilistic neural network was built for fault position identification.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jose R. V. Moura Jr., Valder Steffen Jr., and Daniel J. Inman "A damage classification technique for impedance-based health monitoring of helicopter blades", Proc. SPIE 6932, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2008, 69323S (8 April 2008); https://doi.org/10.1117/12.776751
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Cited by 1 scholarly publication.
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KEYWORDS
Ferroelectric materials

Neural networks

Structural health monitoring

Fuzzy logic

Failure analysis

Sensors

Visualization

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