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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/7142
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dc.contributor.authorPatel R.-
dc.contributor.authorGupta S.P.-
dc.contributor.authorKumar V.-
dc.date.accessioned2020-10-09T04:42:26Z-
dc.date.available2020-10-09T04:42:26Z-
dc.date.issued2014-
dc.identifier.citationInternational Journal of Power and Energy Conversion (2014), 5(2): 197-209-
dc.identifier.issn17571154-
dc.identifier.urihttps://doi.org/10.1504/IJPEC.2014.061764-
dc.identifier.urihttp://repository.iitr.ac.in/handle/123456789/7142-
dc.description.abstractThis paper evaluates the bearing fault severity in rotating electric machines based on the time-based descriptors derived from machine vibration signal. Time-based descriptors are independent of bearing dimensions and machine dynamics. To establish the relationship between the time-based descriptor and bearing fault severity, a wide range of defective bearings are examined on an experimental set-up and the factors contributing to the value of time-based descriptor are determined. The application of this technique to the bearing faults such as rolling element, inner-race and outer-race fault, has confirmed that time-based descriptor successfully measures the severity of faults. The significance of time-based descriptors has been evaluated and tested by developing online bearing failure situation via shaft current. Since the time-based descriptors are independent of dimensions and characteristic frequencies of the bearing, the severity estimation is less sensitive to operating conditions for data acquisition. The laboratory investigations on 10-hp cage induction motor are presented. Copyright © 2014 Inderscience Enterprises Ltd.-
dc.language.isoen_US-
dc.publisherInderscience Publishers-
dc.relation.ispartofInternational Journal of Power and Energy Conversion-
dc.subjectBearing fault-
dc.subjectCondition monitoring-
dc.subjectFault diagnosis-
dc.subjectVibration analysis-
dc.titleBearing fault severity estimation using time-based descriptors for rotating electric machines-
dc.typeArticle-
dc.scopusid57143336400-
dc.scopusid57211862460-
dc.scopusid25646515800-
dc.affiliationPatel, R., HJD Institute of Technical Education and Research, Kera, Kutch, Gujarat, 370430, India-
dc.affiliationGupta, S.P., Department of Electrical Engineering, Indian Institute of Technology Roorkee, Roorkee, Uttrakhand, 388121, India-
dc.affiliationKumar, V., Department of Electrical Engineering, Indian Institute of Technology Roorkee, Roorkee, Uttrakhand, 388121, India-
dc.description.correspondingauthorPatel, R.; HJD Institute of Technical Education and ResearchIndia; email: rajeshpatel@ieee.org-
Appears in Collections:Journal Publications [EE]

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