A comparison between some pattern recognition based fault diagnosis methods of induction motor

被引：0
作者：
Gholaminejad, Azadeh [1 ]
Poshtan, Javad [1 ]
机构：
[1] Iran Univ Sci & Technol, Elect Dept, Tehran, Iran
来源：
2017 5TH INTERNATIONAL CONFERENCE ON CONTROL, INSTRUMENTATION, AND AUTOMATION (ICCIA) | 2017年
关键词：
component; fault diagnosis; pattern recognition; performance; feature; BEARING; SYSTEMS;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Automatic fault diagnosis is one of the most essential part of industries. A diagnosis system with a good performance can be so effective in cost reduction and safety increase in different industries. Pattern recognition methods due to their simplicity and suitable operation are one of the most used methods. Besides induction motors are of the most important and applicable part of any industry. In this paper some of the most popular methods of pattern recognition used in fault diagnosis of induction motor's rotor and stator fault performance are discussed.
引用
收藏
页码：307 / 312
页数：6
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