A Comprehensive Review of Condition Based Prognostic Maintenance (CBPM) for Induction Motor

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dc.contributor.author Kumar, Sanjay
dc.contributor.author Mukherjee, Debottam
dc.contributor.author Guchhait, Pabitra Kumar
dc.contributor.author Banerjee, Ramashis
dc.contributor.author Srivastava, Ankit Kumar
dc.contributor.author Vishwakarma, D.N.
dc.contributor.author Saket, R.K
dc.date.accessioned 2019-12-16T05:35:04Z
dc.date.available 2019-12-16T05:35:04Z
dc.date.issued 2019-07-24
dc.identifier.issn 21693536
dc.identifier.uri http://localhost:8080/xmlui/handle/123456789/465
dc.description.abstract This paper presents condition monitoring aspects of induction motor, its present status with possible mitigation schemes and future maintenance challenges. The induction motors constitute the major portion of motors in domestic and industrial applications. These motors experience different types of failures and faults associated with insulation, bearing, stator, rotor, and eccentricity. As a matter of fact, these faults may subsequently enhance the probability of failures unless proper introspection is not accomplished. In order to reduce the failure time and operating cost, early detection is indispensable which necessitates condition-based approach on contrary to scheduled maintenance. The condition monitoring is a strong candidate to address the diagnosis of machinery failure problems and unreliability. In this context, a comprehensive analysis is reported in the literature with a focus on different methodologies being addressed for such objective. Utmost efforts are made to comprehensively analyze in the reported literature in a sequential manner citing the advantage and limitations in this paper. The authors hopefully described and illustrated the associated problems with possible mitigation in the context of condition monitoring which would be immensely helpful for future researchers working in these aspects and the future roadmap would be clearly reflected. en_US
dc.language.iso en_US en_US
dc.publisher Institute of Electrical and Electronics Engineers Inc. en_US
dc.subject Artificial intelligence en_US
dc.subject Bearingless induction motor en_US
dc.subject Condition monitoring en_US
dc.subject Deep learning en_US
dc.subject Fault diagnosis en_US
dc.subject Induction motor en_US
dc.subject Wavelet techniques en_US
dc.title A Comprehensive Review of Condition Based Prognostic Maintenance (CBPM) for Induction Motor en_US
dc.type Article en_US


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