Condition Monitoring and Fault Diagnosis Techniques of Electric Machines

被引:0
|
作者
Nitish [1 ]
Singh, Amit Kr [1 ]
机构
[1] Dr BR Ambedkar NIT Jalandhar, Instrumentat & Control Engn, Jalandhar, Punjab, India
来源
2019 3RD INTERNATIONAL CONFERENCE ON RECENT DEVELOPMENTS IN CONTROL, AUTOMATION & POWER ENGINEERING (RDCAPE) | 2019年
关键词
electrical faults; mechanical faults; ANN; MCSA; BLDC; BLAC; PCA; SVM;
D O I
10.1109/rdcape47089.2019.8979045
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
From many decades electric motors are used in industries and to achieve better results in modern energy conversion industry the development and modernization of the electric motors is very necessary. Also, several types of motors are used in our day to day life for important services such as carriage, medical purpose, armed work, and to communicate. Therefore, it becomes very necessary to monitor the conditions of the motor continuously. However, due to the limited lifetime of a material, weakening of motor's components, contamination in parts, defects during manufacturing, or other damages during process, an electric motor can face serious problems. A sudden failure may lead to the loss of valuable human life or expensive machinery in the industry, which should be prohibited by precise spotting or continue monitoring of working condition of a motor. This paper presented a review on electrical and mechanical faults diagnosis methods used so far to improve the performance of motors and also helps to prevent the unnecessary replacement of motor's parts and suddenly shutdown the production unit.
引用
收藏
页码:594 / 599
页数:6
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