Detection of Broken Rotor Bars in Presence of Load Oscillations
In industrial applications, the reliable performance of induction motors (IM) is essential. This paper proposes an improved method to distinguish between broken rotor bar (BRB) faults and load oscillations (LO) by analyzing stator current components in the rotor-flux reference frame. The approach em...
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| Format: | Article |
| Language: | English |
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IEEE
2025-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/10908227/ |
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| author | Klemen Drobnic Mitja Nemec Henrik Lavric Vanja Ambrozic Rastko Fiser |
| author_facet | Klemen Drobnic Mitja Nemec Henrik Lavric Vanja Ambrozic Rastko Fiser |
| author_sort | Klemen Drobnic |
| collection | DOAJ |
| description | In industrial applications, the reliable performance of induction motors (IM) is essential. This paper proposes an improved method to distinguish between broken rotor bar (BRB) faults and load oscillations (LO) by analyzing stator current components in the rotor-flux reference frame. The approach employs a diagnostic fault indicator based on the amplitude ratio of current oscillations in the direct and quadrature axes, with a threshold established through simulation data and a support vector classifier (SVC). If the detected spectral peak pair corresponds to a BRB, the fault indicator exceeds the threshold. Conversely, peaks caused by LO result in an indicator value significantly below this threshold. The explicit and unambiguous separation between BRB and LO effects allows for the practical recommendation of a unity threshold. Simulations and experimental results validate the method’s robustness, demonstrating accurate fault identification even under challenging conditions, such as lightly loaded motors with a single BRB. The method relies solely on current and voltage measurements, avoiding the need for speed sensors. With low computational demands, it integrates seamlessly into existing motor drive systems. These features make it a practical and cost-effective tool for real-time fault detection and predictive maintenance in industrial settings. |
| format | Article |
| id | doaj-art-0960a3e31fc44014948b108ebd802f68 |
| institution | DOAJ |
| issn | 2169-3536 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-0960a3e31fc44014948b108ebd802f682025-08-20T02:48:03ZengIEEEIEEE Access2169-35362025-01-0113400124002710.1109/ACCESS.2025.354670510908227Detection of Broken Rotor Bars in Presence of Load OscillationsKlemen Drobnic0https://orcid.org/0000-0002-2444-2327Mitja Nemec1https://orcid.org/0000-0002-8774-1025Henrik Lavric2https://orcid.org/0009-0000-7746-4522Vanja Ambrozic3https://orcid.org/0000-0002-3468-4581Rastko Fiser4https://orcid.org/0000-0002-0740-4775Faculty of Electrical Engineering, University of Ljubljana, Ljubljana, SloveniaFaculty of Electrical Engineering, University of Ljubljana, Ljubljana, SloveniaFaculty of Electrical Engineering, University of Ljubljana, Ljubljana, SloveniaFaculty of Electrical Engineering, University of Ljubljana, Ljubljana, SloveniaFaculty of Electrical Engineering, University of Ljubljana, Ljubljana, SloveniaIn industrial applications, the reliable performance of induction motors (IM) is essential. This paper proposes an improved method to distinguish between broken rotor bar (BRB) faults and load oscillations (LO) by analyzing stator current components in the rotor-flux reference frame. The approach employs a diagnostic fault indicator based on the amplitude ratio of current oscillations in the direct and quadrature axes, with a threshold established through simulation data and a support vector classifier (SVC). If the detected spectral peak pair corresponds to a BRB, the fault indicator exceeds the threshold. Conversely, peaks caused by LO result in an indicator value significantly below this threshold. The explicit and unambiguous separation between BRB and LO effects allows for the practical recommendation of a unity threshold. Simulations and experimental results validate the method’s robustness, demonstrating accurate fault identification even under challenging conditions, such as lightly loaded motors with a single BRB. The method relies solely on current and voltage measurements, avoiding the need for speed sensors. With low computational demands, it integrates seamlessly into existing motor drive systems. These features make it a practical and cost-effective tool for real-time fault detection and predictive maintenance in industrial settings.https://ieeexplore.ieee.org/document/10908227/Broken rotor barsfault detectioninduction machinemotor current signature analysissupport vector machine classification |
| spellingShingle | Klemen Drobnic Mitja Nemec Henrik Lavric Vanja Ambrozic Rastko Fiser Detection of Broken Rotor Bars in Presence of Load Oscillations IEEE Access Broken rotor bars fault detection induction machine motor current signature analysis support vector machine classification |
| title | Detection of Broken Rotor Bars in Presence of Load Oscillations |
| title_full | Detection of Broken Rotor Bars in Presence of Load Oscillations |
| title_fullStr | Detection of Broken Rotor Bars in Presence of Load Oscillations |
| title_full_unstemmed | Detection of Broken Rotor Bars in Presence of Load Oscillations |
| title_short | Detection of Broken Rotor Bars in Presence of Load Oscillations |
| title_sort | detection of broken rotor bars in presence of load oscillations |
| topic | Broken rotor bars fault detection induction machine motor current signature analysis support vector machine classification |
| url | https://ieeexplore.ieee.org/document/10908227/ |
| work_keys_str_mv | AT klemendrobnic detectionofbrokenrotorbarsinpresenceofloadoscillations AT mitjanemec detectionofbrokenrotorbarsinpresenceofloadoscillations AT henriklavric detectionofbrokenrotorbarsinpresenceofloadoscillations AT vanjaambrozic detectionofbrokenrotorbarsinpresenceofloadoscillations AT rastkofiser detectionofbrokenrotorbarsinpresenceofloadoscillations |