Analysis and Non-Invasive Diagnostics of Bearing Faults in Three-Phase Induction Motors
This article focuses on the analysis and non-invasive online diagnostics of the operating condition of bearings integrated into three-phase squirrel cage induction motors, an electric machine that, due to its construction and operational characteristics, has a significant presence in the industry. T...
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MDPI AG
2024-10-01
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| Online Access: | https://www.mdpi.com/2673-4591/72/1/5 |
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| author | Juan Barreno Fernando Bento Antonio J. Marques Cardoso |
| author_facet | Juan Barreno Fernando Bento Antonio J. Marques Cardoso |
| author_sort | Juan Barreno |
| collection | DOAJ |
| description | This article focuses on the analysis and non-invasive online diagnostics of the operating condition of bearings integrated into three-phase squirrel cage induction motors, an electric machine that, due to its construction and operational characteristics, has a significant presence in the industry. The proposed signal-processing analysis tool is based on the non-invasive monitoring of stator electrical currents. To improve robustness in the diagnosis of bearing faults beyond the state-of-the-art, a hybrid approach was employed. The Short-Time Fourier Transform (STFT) and Park’s Vector Approach (PVA) were combined and applied to the stator currents. This hybridization allowed the benefits of both methods to be combined: (i) proper evaluation of time-varying phenomena and (ii) the ability to distinguish the type of fault affecting the bearing. To demonstrate the feasibility of the approach, comparisons were made between the proposed hybrid technique and both the STFT and the Extended Park’s Vector Approach (EPVA), which have been previously considered in the diagnosis of these and other induction motor faults. The validation of the proposed solution was conducted through computational simulations and laboratory tests, ultimately aiming to generate a database of results to inform future research in this area. To emulate bearing failures in an experimental context, artificial damage to bearing components was introduced. |
| format | Article |
| id | doaj-art-1f976e5e1f8745459c08c8daa064d828 |
| institution | Kabale University |
| issn | 2673-4591 |
| language | English |
| publishDate | 2024-10-01 |
| publisher | MDPI AG |
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| series | Engineering Proceedings |
| spelling | doaj-art-1f976e5e1f8745459c08c8daa064d8282024-12-27T14:24:14ZengMDPI AGEngineering Proceedings2673-45912024-10-01721510.3390/engproc2024072005Analysis and Non-Invasive Diagnostics of Bearing Faults in Three-Phase Induction MotorsJuan Barreno0Fernando Bento1Antonio J. Marques Cardoso2CISE—Electromechatronic Systems Research Centre, University of Beira Interior, Calçada Fonte do Lameiro, P-6201-001 Covilhã, PortugalCISE—Electromechatronic Systems Research Centre, University of Beira Interior, Calçada Fonte do Lameiro, P-6201-001 Covilhã, PortugalCISE—Electromechatronic Systems Research Centre, University of Beira Interior, Calçada Fonte do Lameiro, P-6201-001 Covilhã, PortugalThis article focuses on the analysis and non-invasive online diagnostics of the operating condition of bearings integrated into three-phase squirrel cage induction motors, an electric machine that, due to its construction and operational characteristics, has a significant presence in the industry. The proposed signal-processing analysis tool is based on the non-invasive monitoring of stator electrical currents. To improve robustness in the diagnosis of bearing faults beyond the state-of-the-art, a hybrid approach was employed. The Short-Time Fourier Transform (STFT) and Park’s Vector Approach (PVA) were combined and applied to the stator currents. This hybridization allowed the benefits of both methods to be combined: (i) proper evaluation of time-varying phenomena and (ii) the ability to distinguish the type of fault affecting the bearing. To demonstrate the feasibility of the approach, comparisons were made between the proposed hybrid technique and both the STFT and the Extended Park’s Vector Approach (EPVA), which have been previously considered in the diagnosis of these and other induction motor faults. The validation of the proposed solution was conducted through computational simulations and laboratory tests, ultimately aiming to generate a database of results to inform future research in this area. To emulate bearing failures in an experimental context, artificial damage to bearing components was introduced.https://www.mdpi.com/2673-4591/72/1/5induction motorsbearing faultscondition monitoringstator current spectrumExtended Park’s Vector Approach (EPVA)Short-Time Fourier Transform (STFT) |
| spellingShingle | Juan Barreno Fernando Bento Antonio J. Marques Cardoso Analysis and Non-Invasive Diagnostics of Bearing Faults in Three-Phase Induction Motors Engineering Proceedings induction motors bearing faults condition monitoring stator current spectrum Extended Park’s Vector Approach (EPVA) Short-Time Fourier Transform (STFT) |
| title | Analysis and Non-Invasive Diagnostics of Bearing Faults in Three-Phase Induction Motors |
| title_full | Analysis and Non-Invasive Diagnostics of Bearing Faults in Three-Phase Induction Motors |
| title_fullStr | Analysis and Non-Invasive Diagnostics of Bearing Faults in Three-Phase Induction Motors |
| title_full_unstemmed | Analysis and Non-Invasive Diagnostics of Bearing Faults in Three-Phase Induction Motors |
| title_short | Analysis and Non-Invasive Diagnostics of Bearing Faults in Three-Phase Induction Motors |
| title_sort | analysis and non invasive diagnostics of bearing faults in three phase induction motors |
| topic | induction motors bearing faults condition monitoring stator current spectrum Extended Park’s Vector Approach (EPVA) Short-Time Fourier Transform (STFT) |
| url | https://www.mdpi.com/2673-4591/72/1/5 |
| work_keys_str_mv | AT juanbarreno analysisandnoninvasivediagnosticsofbearingfaultsinthreephaseinductionmotors AT fernandobento analysisandnoninvasivediagnosticsofbearingfaultsinthreephaseinductionmotors AT antoniojmarquescardoso analysisandnoninvasivediagnosticsofbearingfaultsinthreephaseinductionmotors |