Research on Motor Fault Diagnosis Based on Fuzzy Algorithm

摘要：

In the course of motor operation, according to the information of failure signs of motor operation, determine the reasons for motor fault diagnosis and take reasonable measures, which are significant for protecting the safe operation of production and reducing maintenance costs. In this paper, through the establishment of fuzzy comprehensive evaluation model to describe relationship between the cause of the malfunction and the sign of failure, combined with the actual operation of the motor and on-site expertise to identify fuzzy relationship matrix integrated, with a threshold method to deal with the cause of the malfunction vector in order to achieve comprehensive diagnosis of electrical fault; The final with a example of specific motor fault diagnosis shows the feasibility and practicality of such diagnostic methods.

关键词： Fuzzy Comprehensive Evaluation Motor Fault Diagnosis Membership function

作者: Shen Zhichong Liu Xiaobo Xin Chao Jin Zhihui

作者单位: Bejing Tongyizhong Special Fiber Techonology & Development Co., Ltd, Beijing, 101102 School of Elect School of Electrical and Automation, Hebei University of Techonology, 300130

会议类型: 国际会议

会议名称: 第三届电工产品可靠性与电接触国际会议(The 3rd International Conference on Reliability of Electrical Products and Electrical Contacts)

会议地点: 温州

会议语种:英文

页码: 502-505

在线出版日期: 2009-10-18（万方平台首次上网日期，不代表论文的发表时间）