Fault Diagnosis of Turbo-generator Units Based on Auto-associative Wavelet Network
Zheng Ying-ping · Jisuanji gongcheng · 2008
Multiple-layer auto-associative wavelet network is presented to solve the problem of fault diagnosis for turbo-generator units,which combines wavelet transform and Auto-Associative Neural Network(AANN).Vibration signal is processed by discrete binary wavelet transform at the input layer and the detail coefficients are obtained under multi-resolution as fault character vectors.AANN is trained according to these character vectors.The trained AANN diagnoses the fault.This method is successfully used to diagnose the fault of turbo-generator units.Simulation result proves that the method is better than the regular BP network.Single fault recognition rate rises by 31.2% and comprehensive fault recognition rate rises by 26.6%.