FAULT DIAGNOSIS OF INDUCTION MOTOR USING NEURAL NETWORKS

摘要：

The fault diagnosis theory and its methods for inductor motor are summarized.Based on the method of current spectrum, a neural network method to diagnose the broken bar number of inductor motor is presented.The training patterns and the diagnosis results for the neural network are given.The broken bar number of inductor motor is diagnosed directly according to the working status parameters.The method is high intelligent and very reliable.

关键词： Induction motor Broken bar Neural networks Fault diagnosis

作者: QING HE DONG-MEI DU

作者单位: Key Laboratory of Condition Monitoring and Control for Power Plant Equipment, Ministry of Education, College of Energy and Power Engineering, North China Electric Power University, Beijing 102206, China

会议类型: 国际会议

会议名称: 2007 International Conference on Machine Learning and Cybernetics(IEEE第六届机器学习与控制论国际会议)

会议地点: 香港

会议语种:英文

页码: 1090-1095

在线出版日期: 2007-08-19（万方平台首次上网日期，不代表论文的发表时间）