Early Detection of Faults in Induction Motors—A Review
There is an increasing interest in improving energy efficiency and reducing operational costs of induction motors in the industry. These costs can be significantly reduced, and the efficiency of the motor can be improved if the condition of the machine is monitored regularly and if monitoring techni...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-10-01
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| Series: | Energies |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1996-1073/15/21/7855 |
| _version_ | 1797468440206770176 |
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| author | Tomas Garcia-Calva Daniel Morinigo-Sotelo Vanessa Fernandez-Cavero Rene Romero-Troncoso |
| author_facet | Tomas Garcia-Calva Daniel Morinigo-Sotelo Vanessa Fernandez-Cavero Rene Romero-Troncoso |
| author_sort | Tomas Garcia-Calva |
| collection | DOAJ |
| description | There is an increasing interest in improving energy efficiency and reducing operational costs of induction motors in the industry. These costs can be significantly reduced, and the efficiency of the motor can be improved if the condition of the machine is monitored regularly and if monitoring techniques are able to detect failures at an incipient stage. An early fault detection makes the elimination of costly standstills, unscheduled downtime, unplanned breakdowns, and industrial injuries possible. Furthermore, maintaining a proper motor operation by reducing incipient failures can reduce motor losses and extend its operating life. There are many review papers in which analyses of fault detection techniques in induction motors can be found. However, all these reviewed techniques can detect failures only at developed or advanced stages. To our knowledge, no review exists that assesses works able to detect failures at incipient stages. This paper presents a review of techniques and methodologies that can detect faults at early stages. The review presents an analysis of the existing techniques focusing on the following principal motor components: stator, rotor, and rolling bearings. For steady-state and transient operating modes of the motor, the methodologies are discussed and recommendations for future research in this area are also presented. |
| first_indexed | 2024-03-09T19:07:30Z |
| format | Article |
| id | doaj.art-81076cbb73f640848c8a99f8ecd45e07 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-09T19:07:30Z |
| publishDate | 2022-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-81076cbb73f640848c8a99f8ecd45e072023-11-24T04:27:47ZengMDPI AGEnergies1996-10732022-10-011521785510.3390/en15217855Early Detection of Faults in Induction Motors—A ReviewTomas Garcia-Calva0Daniel Morinigo-Sotelo1Vanessa Fernandez-Cavero2Rene Romero-Troncoso3HSPdigital-Electronics Department, University of Guanajuato, Salamanca 36700, MexicoHSPdigital-ITAP-ADIRE, University of Valladolid, 47002 Valladolid, SpainDepartment of Electrical Engineering, University of Valladolid, 47002 Valladolid, SpainHSPdigital-Mechatronics Department, Autonomous University of Querétaro, San Juan del Río 76806, MexicoThere is an increasing interest in improving energy efficiency and reducing operational costs of induction motors in the industry. These costs can be significantly reduced, and the efficiency of the motor can be improved if the condition of the machine is monitored regularly and if monitoring techniques are able to detect failures at an incipient stage. An early fault detection makes the elimination of costly standstills, unscheduled downtime, unplanned breakdowns, and industrial injuries possible. Furthermore, maintaining a proper motor operation by reducing incipient failures can reduce motor losses and extend its operating life. There are many review papers in which analyses of fault detection techniques in induction motors can be found. However, all these reviewed techniques can detect failures only at developed or advanced stages. To our knowledge, no review exists that assesses works able to detect failures at incipient stages. This paper presents a review of techniques and methodologies that can detect faults at early stages. The review presents an analysis of the existing techniques focusing on the following principal motor components: stator, rotor, and rolling bearings. For steady-state and transient operating modes of the motor, the methodologies are discussed and recommendations for future research in this area are also presented.https://www.mdpi.com/1996-1073/15/21/7855artificial intelligencecondition monitoringearly detectionfault diagnosisfault severityfrequency analysis |
| spellingShingle | Tomas Garcia-Calva Daniel Morinigo-Sotelo Vanessa Fernandez-Cavero Rene Romero-Troncoso Early Detection of Faults in Induction Motors—A Review Energies artificial intelligence condition monitoring early detection fault diagnosis fault severity frequency analysis |
| title | Early Detection of Faults in Induction Motors—A Review |
| title_full | Early Detection of Faults in Induction Motors—A Review |
| title_fullStr | Early Detection of Faults in Induction Motors—A Review |
| title_full_unstemmed | Early Detection of Faults in Induction Motors—A Review |
| title_short | Early Detection of Faults in Induction Motors—A Review |
| title_sort | early detection of faults in induction motors a review |
| topic | artificial intelligence condition monitoring early detection fault diagnosis fault severity frequency analysis |
| url | https://www.mdpi.com/1996-1073/15/21/7855 |
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