Aviation-Engine Lubricant System Fault Diagnosis Based on Wavelet Neural Networks

Zhun Jiao; Rong Zhang

doi:10.4028/www.scientific.net/AMR.466-467.680

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 466-467Aviation-Engine Lubricant System Fault Diagnosis...

Aviation-Engine Lubricant System Fault Diagnosis Based on Wavelet Neural Networks

Abstract:

Fault detection and diagnosis methods for non-linear system based on wavelet neural networks are researched. Wavelet analysis and back propagation neural networks are fused, and the algorithmic is inferred. Method of wavelet neural networks is used in fault diagnosis for the lubricant system of the aero-engine. Results of simulation and tests show that, this method, which is good to fault diagnosis for non-linear systems, does better in convergence speed, and is not sensitive to the inputs of the net.

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Periodical:

Advanced Materials Research (Volumes 466-467)

Pages:

680-684

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.466-467.680

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Online since:

February 2012

Authors:

Zhun Jiao, Rong Zhang

Keywords:

Fault Diagnosis, Lubricant System, Wavelet Neural Network (WNN)

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