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

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.

关键词： Fault Diagnosis Symptom Eztraction Wavelet Packet Analysis Neural Networks

作者: Huanxin Xu Xiaogang Xu

作者单位: Hebei Software Institute,Baoding 071000,P.R.China North China Electric Power University,Baoding 071003,P.R.China

会议类型: 国际会议

会议名称: 2009 International Symposium on Computer Science and Technology(2009 中国宁波国际计算机科学与技术学术大会)

会议地点: 宁波

会议语种:英文

页码: 346-347

在线出版日期: 2009-11-20（万方平台首次上网日期，不代表论文的发表时间）