A Comprehensive Review of Condition Based Prognostic Maintenance (CBPM) for Induction Motor
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...
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| Format: | Article |
| Language: | English |
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IEEE
2019-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/8754739/ |
| _version_ | 1818412634752417792 |
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| author | Sanjay Kumar Debottam Mukherjee Pabitra Kumar Guchhait Ramashis Banerjee Ankit Kumar Srivastava D. N. Vishwakarma R. K. Saket |
| author_facet | Sanjay Kumar Debottam Mukherjee Pabitra Kumar Guchhait Ramashis Banerjee Ankit Kumar Srivastava D. N. Vishwakarma R. K. Saket |
| author_sort | Sanjay Kumar |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-14T10:50:26Z |
| format | Article |
| id | doaj.art-8c37a185d51c431d8e45471c0888f92b |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-14T10:50:26Z |
| publishDate | 2019-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-8c37a185d51c431d8e45471c0888f92b2022-12-21T23:05:16ZengIEEEIEEE Access2169-35362019-01-017906909070410.1109/ACCESS.2019.29265278754739A Comprehensive Review of Condition Based Prognostic Maintenance (CBPM) for Induction MotorSanjay Kumar0Debottam Mukherjee1Pabitra Kumar Guchhait2Ramashis Banerjee3Ankit Kumar Srivastava4https://orcid.org/0000-0002-0604-507XD. N. Vishwakarma5R. K. Saket6https://orcid.org/0000-0002-2773-9599Electrical Engineering Department, IIT (BHU) Varanasi, Varanasi, IndiaElectrical Engineering Department, IIT (BHU) Varanasi, Varanasi, IndiaElectrical Engineering Department, National Institute of Technology at Arunachal Pradesh, Yupia, IndiaElectrical Engineering Department, National Institute of Technology, Silchar, IndiaElectrical Engineering Department, IET, Dr. Rammanohar Lohia Avadh University at Faizabad, Faizabad, IndiaElectrical Engineering Department, IIT (BHU) Varanasi, Varanasi, IndiaElectrical Engineering Department, IIT (BHU) Varanasi, Varanasi, IndiaThis 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.https://ieeexplore.ieee.org/document/8754739/Condition monitoringinduction motorbearingless induction motorfault diagnosisartificial intelligencewavelet techniques |
| spellingShingle | Sanjay Kumar Debottam Mukherjee Pabitra Kumar Guchhait Ramashis Banerjee Ankit Kumar Srivastava D. N. Vishwakarma R. K. Saket A Comprehensive Review of Condition Based Prognostic Maintenance (CBPM) for Induction Motor IEEE Access Condition monitoring induction motor bearingless induction motor fault diagnosis artificial intelligence wavelet techniques |
| title | A Comprehensive Review of Condition Based Prognostic Maintenance (CBPM) for Induction Motor |
| title_full | A Comprehensive Review of Condition Based Prognostic Maintenance (CBPM) for Induction Motor |
| title_fullStr | A Comprehensive Review of Condition Based Prognostic Maintenance (CBPM) for Induction Motor |
| title_full_unstemmed | A Comprehensive Review of Condition Based Prognostic Maintenance (CBPM) for Induction Motor |
| title_short | A Comprehensive Review of Condition Based Prognostic Maintenance (CBPM) for Induction Motor |
| title_sort | comprehensive review of condition based prognostic maintenance cbpm for induction motor |
| topic | Condition monitoring induction motor bearingless induction motor fault diagnosis artificial intelligence wavelet techniques |
| url | https://ieeexplore.ieee.org/document/8754739/ |
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