会议专题

APPLIED STUDY OF ELECTROMOTOR FAULT DIAGNOSIS BASED ON WAVELET PACKETS AND NEURAL NETWORK

This paper presents a novelty electromotor fault diagnosis method based on wavelet packets and BP neural network.Wavelet packets transform can decompose original signal into different spectrums, the corresponding energy eigenvector can be obtained, it expresses the energy characteristics of original signal; BP (back propagation) neural network is an effective tool to recognize fault types, neural network can be trained by sample signal, then it can recognize practical fault types. The practical example indicates the validity of the new method.

Wavelet packets fault diagnosis BP neural network

BEI-PING HOU WEN ZHU XIN-JIAN XIANG XING-YAO SHANG

School of Automation and Electricity, Zhejiang University of Science and Technology, Hangzhou 310023, China

国际会议

2006 International Conference on Machine Learning and Cybernetics(IEEE第五届机器学习与控制论坛)

大连

英文

2912-2916

2006-08-13(万方平台首次上网日期,不代表论文的发表时间)