Motor Fault Diagnosis based on wavelet neural network

摘要：

Motor fault diagnosis is important in industrial and agricultural production. Many methods have been employed to solve this problem. A novel method for motor fault diagnosis is proposed in this paper, which adopts the wavelet neural network and applies improved genetic algorithm to optimize the initial parameters of wavelet neural network. The results of training and testing show that the method is effective and available.

关键词： motor fault diagnosis wavelet function neural network

作者: Xu Li Ying Wang Nan Lan

作者单位: Changsha University of Science and Technology,Changsha , China Hunan niversity of Arts and Sciences Changed, china

会议类型: 国际会议

会议名称: 2009 Second International Conference on Intelligent Computation Technology and Automation(2009 第二届IEEE智能计算与自动化国际会议 ICICTA 2009)

会议地点: 长沙

会议语种:英文

页码: 1505-1507

在线出版日期: 2009-10-10（万方平台首次上网日期，不代表论文的发表时间）