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

摘要：

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.

关键词： Wavelet packets fault diagnosis BP neural network

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

作者单位: School of Automation and Electricity, Zhejiang University of Science and Technology, Hangzhou 310023, China

会议类型: 国际会议

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

会议地点: 大连

会议语种:英文

页码: 2912-2916

在线出版日期: 2006-08-13（万方平台首次上网日期，不代表论文的发表时间）