Research on Fault Diagnosis Method of Asynchronous Motor

被引：0
|
作者：
Gao Ya [1 ]
Du Guanghui [1 ]
Gao Yi [2 ]
Zhu Qinling [3 ]
Li Bo [4 ]
机构：
[1] Xian Technol Univ, Elect Informat Engn Coll, Xian, Shaanxi, Peoples R China
[2] Xian ShiYou Univ, Sch Elect Engn, Xian, Shaanxi, Peoples R China
[3] Western Superconducting Technol Co Ltd, Xian, Shaanxi, Peoples R China
[4] Zhuhai Wanlida Elect Automat Co Ltd, Zhuhai, Guangdong, Peoples R China
来源：
2019 IEEE INTERNATIONAL CONFERENCE ON MECHATRONICS AND AUTOMATION (ICMA) | 2019年
基金：
中国国家自然科学基金;
关键词：
Fault diagnosis; Asynchronous motor; Multiple methods fusion; Digital signal processing; SIGNATURE;
D O I：
10.1109/icma.2019.8816359
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Reliability measurement and evaluation of industrial systems is a difficult and important problem for control engineers. Due to the large proportion of asynchronous motors in industrial production and the high cost of maintenance personnel and spare parts, this paper summarizes the online diagnosis method of asynchronous motors and expounds the current state of fault diagnosis method from different aspects through classification.
引用
收藏
页码：583 / 588
页数：6
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