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International Conference on Instrumentation, Measurement, Circuits and Systems (ICIMCS 2011)

By
Chen Ming
Chen Ming
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ISBN:
9780791859902
No. of Pages:
1400
Publisher:
ASME Press
Publication date:
2011

Aero-engine rotor fault endangering safety of aircraft, which needed to be real-time monitored. Flight Data Recorder (FDR) recorded engine parameters can objectively reflect on the engine working conditions, so the analysis of engine parameters and the in-depth study of flight data are significant to effective implementation of aircraft maintenance and condition monitoring. The article mainly uses aircraft engine rotor vibration signals recorded by the FDR to put forward an aero-engine rotor fault diagnosis method, which is based on wavelet analysis and neural network. The method uses wavelet time-frequency analyzes technique to filter the noise and waves of the aero-engine rotor...

Abstract
Keywords
Introduction
The Basic Theory of Wavelet Neural Network
The Diagnosis of Engine Vibration Signal
Fault
Conclusion
Reference
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