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Reduced-Order Modeling and Wavelet Analysis of Turbofan Engine Structural Response Due to Foreign Object Damage "FOD" EventsThe development of a wavelet-based feature extraction technique specifically targeting FOD-event induced vibration signal changes in gas turbine engines is described. The technique performs wavelet analysis of accelerometer signals from specified locations on the engine and is shown to be robust in the presence of significant process and sensor noise. It is envisioned that the technique will be combined with Kalman filter thermal/ health parameter estimation for FOD-event detection via information fusion from these (and perhaps other) sources. Due to the lack of high-frequency FOD-event test data in the open literature, a reduced-order turbofan structural model (ROM) was synthesized from a finite-element model modal analysis to support the investigation. In addition to providing test data for algorithm development, the ROM is used to determine the optimal sensor location for FOD-event detection. In the presence of significant noise, precise location of the FOD event in time was obtained using the developed wavelet-based feature.
Document ID
20070031685
Acquisition Source
Glenn Research Center
Document Type
Conference Paper
External Source(s)
Authors
Turso, James A.
(QSS Group, Inc. Cleveland, OH, United States)
Lawrence, Charles
(NASA Glenn Research Center Cleveland, OH, United States)
Litt, Jonathan S.
(Army Research Lab. Cleveland, OH, United States)
Date Acquired
August 23, 2013
Publication Date
July 1, 2007
Publication Information
Publication: Journal of Engineering for Gas Turbines and Power
Publisher: American Society of Mechanical Engineers
Volume: 129
Issue: 3
Subject Category
Air Transportation And Safety
Report/Patent Number
E-16251
Funding Number(s)
WBS: WBS 457280.02.07.03.04.03
Distribution Limits
Public
Copyright
Other

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