NDLI: Preliminary investigation on bearing fault analysis in three phase induction motor by MEMS accelerometer

Content Provider	IEEE Xplore Digital Library
Author	Maruthi, G.S. Hegde, V.
Copyright Year	2014
Description	Author affiliation: Dept. of Electr. & Electron. Eng., Malnad Coll. of Eng., Hassan, India (Hegde, V.) \|\| Dept. of Electr. & Electron. Eng., Smt. L.V. Gov. Polytech., Hassan, India (Maruthi, G.S.)
Abstract	This paper proposes a simple method to detect single point defect in inner race of the bearing of smaller horse power induction motor by employing motor vibration and current signals. Experimental investigations have been carried out under no load, full load and unbalance voltage conditions. The effect of inner race bearing fault on the air gap length modulation has been investigated. The spectral analysis of both vibration and current signal has been carried out by using radix-2 decimation in time fast Fourier transform (DIT-FFT) algorithm. The results of both the methods are compared with theoretical values and found to be closely matching. This indicates that proposed method can be used as an alternative to conventional vibration and current signature analysis for condition monitoring of bearings.
Starting Page	1
Ending Page	6
File Size	853735
Page Count	6
File Format	PDF
e-ISBN	9781479954964
DOI	10.1109/ICAECC.2014.7002478
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-10-10
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Accelerometers Inner race defect Induction motors Rotors DIT FFT algorithm Three phase induction motor Vibrations Fault diagnosis Micromechanical devices MEMS accelerometer Motor current signature analysis Stators Vibration analysis
Content Type	Text
Resource Type	Article

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