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Fault diagnosis for rotor system based on AR-PCA and BP neural network

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3 Author(s)
Zhen Wang ; Department of Mechanical Engineering, Dalian University, Dalian, 116622, China ; Lan Sun ; Guibing Qi

This paper introduces a method for the fault diagnosis of a rotor system. For a vibration signal of a rotor system fault, an AR model is established first, and then the related parameter and amplitude spectrum of this mode can be obtained, etc. The experiments show the above-mentioned method can effectively diagnose the fault of a rotor system.

Published in:

Consumer Electronics, Communications and Networks (CECNet), 2011 International Conference on

Date of Conference:

16-18 April 2011