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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/7356
Title: Experimental investigations on outer race fault in ball bearings of electrical machines using statistical analysis
Authors: Ahmad K.H.
Gupta S.P.
Kumar V.
Published in: IETE Journal of Research
Abstract: Induction machines are employed as prime movers in several applications in the present day industries. The major contributors of faults in an Induction machine are the bearings. The Incipient Bearing Failure defines the fault at an early stage and is a potential danger to the catastrophic failure of the electrical machine. One of the common faults found in bearings is the Outer Race Fault (ORF). The aim of this paper is to identify ORF in the induction machine at different load conditions. The vibration data is acquired and analysis is done by computing the statistical parameters, probability density function, and the cumulative distribution function. Finally, the chi-square test is used to validate the data and findings.
Citation: IETE Journal of Research (2012), 58(2): 96-106
URI: https://doi.org/10.4103/0377-2063.96176
http://repository.iitr.ac.in/handle/123456789/7356
Issue Date: 2012
Keywords: Cumulative distribution
Gaussian distribution
Induction motor
Outer race fault
Statistical inference
Statistical parameter
ISSN: 3772063
Author Scopus IDs: 55346276400
57211862460
25646515800
Author Affiliations: Ahmad, K.H., Department of Electrical Engineering, Indian Institute of Technology, Roorkee, Uttaranchal, India
Gupta, S.P., Department of Electrical Engineering, Indian Institute of Technology, Roorkee, Uttaranchal, India
Kumar, V., Department of Electrical Engineering, Indian Institute of Technology, Roorkee, Uttaranchal, India
Corresponding Author: Ahmad, K.H.; Department of Electrical Engineering, Indian Institute of Technology, Roorkee, Uttaranchal, India; email: khinadee1@gmail.com
Appears in Collections:Journal Publications [EE]

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