An Approach for Fault Detection and Diagnosis of Rotating Electrical Machine Using Vibration Signal Analysis

被引:0
|
作者
Shrivastava, Amit [1 ]
Wadhwani, Sulochana [2 ]
机构
[1] JECRC Univ, Dept Elect Engn, Jaipur, Rajasthan, India
[2] Madhav Inst Tech Sc, Dept Elect Engn, Gwalior, India
关键词
induction motor; fault classification; condition monitoring; rolling element bearing; time domain analysis;
D O I
暂无
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
In the present scenario electric motor plays the most important role in any industry. Induction motor faults results in motor failure causing breakdown and great loss of production due to shutdown of industry and also increases the running cost of machine with reduction in efficiency. This needs for early detection of fault with diagnosis of its root cause. This paper presents an approach for fault detection and diagnosis of rotating electrical machine using vibration signal analysis. The experimental result shows variation in vibration signal of rotating electrical machine under healthy condition and faulty condition. The information is based on the author's study in the field of rotating machinery vibration diagnostics under different fault condition.
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页数:6
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