NDLI: An approach for fault detection and diagnosis of rotating electrical machine using vibration signal analysis

Content Provider	IEEE Xplore Digital Library
Author	Shrivastava, A. Wadhwani, S.
Copyright Year	2014
Description	Author affiliation: Dept. of Electr. Eng., Madhav Inst. of Tech. & Sc., Gwalior, India (Wadhwani, S.) \|\| Dept. of Electr. Eng., JECRC Univ., Jaipur, India (Shrivastava, A.)
Abstract	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.
Sponsorship	IEEE Delhi Sect.
Starting Page	1
Ending Page	6
File Size	1426087
Page Count	6
File Format	PDF
e-ISBN	9781479940400
DOI	10.1109/ICRAIE.2014.6909160
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-05-09
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Vibrations Induction motor Condition monitoring Fault classification Shape Production Maintenance engineering Time domain analysis Rolling element bearing Monitoring Standards
Content Type	Text
Resource Type	Article

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