Fault Diagnosis of Asynchronous Induction Motor Based on BP Neural Network

摘要：

For asynchronous induction motor, it is necessary to carry out fault diagnosis in time. The traditional fault diagnosis methods have the shortcomings such as the diagnosis slow speed, low accuracy. In this paper, for the common fault characteristics of asynchronous induction motor, the fault diagnosis method based on improved BP algorithm, by using of the diagnosis model, is adopted to diagnose the faults of asynchronous induction motor. The simulated experimental results show that the diagnosis method, a quicker diagnosis and a higher accuracy, is feasible. It can enhance the fault recognition rate and provide an effective amelioration method for keeping equipment reliable and efficient displaying functions.

关键词： BP Algorithm Fault Diagnosis Neural Network Asynchronous Induction Motor

作者: Zhao Xiaodong Tang Xinliang Zhao Juan Zhang Yubin

作者单位: Hebei University of Science and Technology, Shijiazhuang, Hebei, 050000, China

会议类型: 国际会议

会议名称: 2010 International Conference on Measuring Technology and Mechatronics Automation(ICMTMA 2010)(2010年检测技术与机电自动化国际会议)

会议地点: 长沙

会议语种:英文

页码: 1361-1364

在线出版日期: 2010-03-13（万方平台首次上网日期，不代表论文的发表时间）