Stray Flux Analysis for the Detection and Severity Categorization of Rotor Failures in Induction Machines Driven by Soft-Starters
The condition monitoring of induction motors (IM), is an important concern for industry due to the widespread use of these machines. Magnetic Flux Analysis, has been proven to be a reliable method of diagnosing these motors. Among the IM types, squirrel-cage motors (SCIM) are one of the most commonl...
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MDPI AG
2021-09-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/14/18/5757 |
| _version_ | 1797519507280887808 |
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| author | Vicente Biot-Monterde Ángela Navarro-Navarro Jose A. Antonino-Daviu Hubert Razik |
| author_facet | Vicente Biot-Monterde Ángela Navarro-Navarro Jose A. Antonino-Daviu Hubert Razik |
| author_sort | Vicente Biot-Monterde |
| collection | DOAJ |
| description | The condition monitoring of induction motors (IM), is an important concern for industry due to the widespread use of these machines. Magnetic Flux Analysis, has been proven to be a reliable method of diagnosing these motors. Among the IM types, squirrel-cage motors (SCIM) are one of the most commonly used. In many industrial applications, the IM are driven by different types of starters, quite often by soft-starters. Despite rotor damages are more prone to occur in line-started motors, these kind of failures have been also reported in those ones driven by soft-starters. Related to this, the use of these type of starters may introduce some harmonic components, that could veil the magnetic flux signature of the different rotor faults. So, the aim of this study is to confirm if the Stray Flux Analysis technique maintains its reliability in these cases. Thus, this article presents the results of soft-started induction motors start-up tests, both in healthy and faulty motors. The fault components are detected by analyzing the stray flux during the starting and the study is complemented by analyzing the stray flux during the steady-state. In addition to the failure patterns, numerical indicators have been found so the identification of the failures is not only qualitative, but also quantitative. The results confirm the potential of the technique for detecting electromechanical failures in soft-started SCIMs. |
| first_indexed | 2024-03-10T07:43:45Z |
| format | Article |
| id | doaj.art-a510ee6584964aeab4b5a0f5f4ab7d22 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-10T07:43:45Z |
| publishDate | 2021-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-a510ee6584964aeab4b5a0f5f4ab7d222023-11-22T12:52:33ZengMDPI AGEnergies1996-10732021-09-011418575710.3390/en14185757Stray Flux Analysis for the Detection and Severity Categorization of Rotor Failures in Induction Machines Driven by Soft-StartersVicente Biot-Monterde0Ángela Navarro-Navarro1Jose A. Antonino-Daviu2Hubert Razik3Departamento de Ingeniería Eléctrica, Universitat Politècnica de València, Cno. de Vera, S/N, 46022 Valencia, SpainDepartamento de Ingeniería Eléctrica, Universitat Politècnica de València, Cno. de Vera, S/N, 46022 Valencia, SpainDepartamento de Ingeniería Eléctrica, Universitat Politècnica de València, Cno. de Vera, S/N, 46022 Valencia, SpainLaboratory Ampère UMR 5005, University of Lyon, 69007 Lyon, FranceThe condition monitoring of induction motors (IM), is an important concern for industry due to the widespread use of these machines. Magnetic Flux Analysis, has been proven to be a reliable method of diagnosing these motors. Among the IM types, squirrel-cage motors (SCIM) are one of the most commonly used. In many industrial applications, the IM are driven by different types of starters, quite often by soft-starters. Despite rotor damages are more prone to occur in line-started motors, these kind of failures have been also reported in those ones driven by soft-starters. Related to this, the use of these type of starters may introduce some harmonic components, that could veil the magnetic flux signature of the different rotor faults. So, the aim of this study is to confirm if the Stray Flux Analysis technique maintains its reliability in these cases. Thus, this article presents the results of soft-started induction motors start-up tests, both in healthy and faulty motors. The fault components are detected by analyzing the stray flux during the starting and the study is complemented by analyzing the stray flux during the steady-state. In addition to the failure patterns, numerical indicators have been found so the identification of the failures is not only qualitative, but also quantitative. The results confirm the potential of the technique for detecting electromechanical failures in soft-started SCIMs.https://www.mdpi.com/1996-1073/14/18/5757induction machinesfailure diagnosisstray fluxsignal processingsoft-starters |
| spellingShingle | Vicente Biot-Monterde Ángela Navarro-Navarro Jose A. Antonino-Daviu Hubert Razik Stray Flux Analysis for the Detection and Severity Categorization of Rotor Failures in Induction Machines Driven by Soft-Starters Energies induction machines failure diagnosis stray flux signal processing soft-starters |
| title | Stray Flux Analysis for the Detection and Severity Categorization of Rotor Failures in Induction Machines Driven by Soft-Starters |
| title_full | Stray Flux Analysis for the Detection and Severity Categorization of Rotor Failures in Induction Machines Driven by Soft-Starters |
| title_fullStr | Stray Flux Analysis for the Detection and Severity Categorization of Rotor Failures in Induction Machines Driven by Soft-Starters |
| title_full_unstemmed | Stray Flux Analysis for the Detection and Severity Categorization of Rotor Failures in Induction Machines Driven by Soft-Starters |
| title_short | Stray Flux Analysis for the Detection and Severity Categorization of Rotor Failures in Induction Machines Driven by Soft-Starters |
| title_sort | stray flux analysis for the detection and severity categorization of rotor failures in induction machines driven by soft starters |
| topic | induction machines failure diagnosis stray flux signal processing soft-starters |
| url | https://www.mdpi.com/1996-1073/14/18/5757 |
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