DocumentCode
2109173
Title
Detection of fastener failure in a thermal protection system panel
Author
Rosenstengel, J. ; Miller, Isaac ; DeSimio, M. ; Derriso, Mark ; Brown, Kevin ; Braisted, William ; Olson, Steven
Author_Institution
Qualia Comput. Inc., Beavercreek, OH, USA
Volume
4
fYear
2004
fDate
13-13 March 2004
Firstpage
2464
Abstract
This paper presents development methods and application results for a structural health monitoring (SHM) system for assessing the condition of mechanical fasteners in a test article representing a realistic portion of a thermal protection system. The test article is a carbon-carbon panel bolted through 15 brackets to a backing structure. Mechanical states considered include all bolts fastened to a nominal torque value, or one of the 15 bolts loosened. Four transducers on the backing structure provide actuation and sensing signals. Spectral functions are computed from all single and pair-wise signal combinations: (cross) power spectral densities, transfer functions, and coherence functions. Automated analysis of the spectral functions shows frequency intervals exist over which the function values are indicative of the mechanical state of the test article. These frequency intervals are used to provide features for the SHM classifier. Statistical pattern recognition methods select a subset of the features. The status of the test article is determined as "undamaged" or "bolt j is loose." The overall localization accuracy of the SHM system on test data is 99.1% with 99.7% probability of detecting a damaged condition at a 0.2% probability of a false alarm.
Keywords
aerospace materials; aerospace testing; carbon; condition monitoring; fasteners; fault diagnosis; feature extraction; pattern classification; piezoelectric transducers; probability; space vehicles; transfer functions; C; actuation signals; backing structure; carbon-carbon panel testing; coherence functions; damaged condition detection; false alarm probability; fastener failure detection; panel failure detection; power spectral density; sensing signals; spectral functions; statistical pattern recognition methods; structural health monitoring system; thermal protection system; transducers; transfer functions; Condition monitoring; Fasteners; Frequency; Probability; Protection; Spectral analysis; System testing; Torque; Transducers; Transfer functions;
fLanguage
English
Publisher
ieee
Conference_Titel
Aerospace Conference, 2004. Proceedings. 2004 IEEE
Conference_Location
Big Sky, MT
ISSN
1095-323X
Print_ISBN
0-7803-8155-6
Type
conf
DOI
10.1109/AERO.2004.1368041
Filename
1368041
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