APPLICATION OF HARMONIC WAVELET PACKET ANALYSIS IN TURBINE FAULT DIAGNOSIS BASED ON IMPROVED BP NETWORK

被引：0
|
作者：
Xu, Huanxin [1 ]
Xu, Xiaogang [1 ]
机构：
[1] Hebei Software Inst, Baoding 071000, Peoples R China
来源：
INTERNATIONAL SYMPOSIUM ON COMPUTER SCIENCE & TECHNOLOGY, PROCEEDINGS | 2009年
关键词：
Fault Diagnosis; Symptom Extraction; Wavelet Packet Analysis; Neural Networks;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
Experimental platform is used to simulate typical faults of turbine. Based on the frequency domain feature, energy eigenvector of frequency domain is presented using harmonic wavelet packet analysis method. Finally, the fault states are recognized using improved neural network, and the simulations show that it made a good performance with the method.
引用
收藏
页码：346 / 347
页数：2
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