Detection of Broken Rotor Bars in a Cage Induction Machine Using DC Injection Braking
In this paper, an effective procedure for broken rotor bar (BRB) fault detection in a three-phase squirrel-cage induction machine (SCIM) is proposed. This approach relies on a motor current signature analysis (MCSA) by observing the specific fault-related current component generated by applying the...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2022-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/9770817/ |
| _version_ | 1818005760138805248 |
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| author | Dejan G. Jerkan Dejan Reljic Ivan Todorovic Ivana Isakov Vlado Porobic Drazen Dujic |
| author_facet | Dejan G. Jerkan Dejan Reljic Ivan Todorovic Ivana Isakov Vlado Porobic Drazen Dujic |
| author_sort | Dejan G. Jerkan |
| collection | DOAJ |
| description | In this paper, an effective procedure for broken rotor bar (BRB) fault detection in a three-phase squirrel-cage induction machine (SCIM) is proposed. This approach relies on a motor current signature analysis (MCSA) by observing the specific fault-related current component generated by applying the DC injection braking method. Unlike the traditional MCSA, which is commonly focused on the detection of BRB sidebands around the fundamental current component, the proposed methodology introduces a new BRB feature in the current spectrum which makes it much easier for identification. The distinctive time-frequency evolution pattern of this feature provides the reliable identification of BRBs, even under no-load operating conditions, thus overcoming the major drawback of traditional MCSA-based methods. Fault severity classification is easily performed through the magnitude inspection of the BRB fault-related current component. In addition, the proposed approach does not require high-complexity signal processing algorithms to achieve reliable results. The proposed concept is presented theoretically, assisted by a magnetically coupled multiple circuit model of the SCIM, both with healthy and faulty rotor bars. Finally, the experimental tests validate the proposed methodology and demonstrate its effectiveness and usefulness. |
| first_indexed | 2024-04-14T04:48:45Z |
| format | Article |
| id | doaj.art-ebc1dd20d6e844b59949e6c552cf4a3b |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-04-14T04:48:45Z |
| publishDate | 2022-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-ebc1dd20d6e844b59949e6c552cf4a3b2022-12-22T02:11:21ZengIEEEIEEE Access2169-35362022-01-0110495854959810.1109/ACCESS.2022.31733529770817Detection of Broken Rotor Bars in a Cage Induction Machine Using DC Injection BrakingDejan G. Jerkan0https://orcid.org/0000-0003-1432-2062Dejan Reljic1https://orcid.org/0000-0002-6102-5995Ivan Todorovic2https://orcid.org/0000-0002-2014-7101Ivana Isakov3https://orcid.org/0000-0001-9742-0594Vlado Porobic4https://orcid.org/0000-0002-9829-7230Drazen Dujic5https://orcid.org/0000-0002-3174-3566Faculty of Technical Sciences, University of Novi Sad, Novi Sad, SerbiaFaculty of Technical Sciences, University of Novi Sad, Novi Sad, SerbiaFaculty of Technical Sciences, University of Novi Sad, Novi Sad, SerbiaFaculty of Technical Sciences, University of Novi Sad, Novi Sad, SerbiaFaculty of Technical Sciences, University of Novi Sad, Novi Sad, Serbia2Power Electronics Laboratory, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, SwitzerlandIn this paper, an effective procedure for broken rotor bar (BRB) fault detection in a three-phase squirrel-cage induction machine (SCIM) is proposed. This approach relies on a motor current signature analysis (MCSA) by observing the specific fault-related current component generated by applying the DC injection braking method. Unlike the traditional MCSA, which is commonly focused on the detection of BRB sidebands around the fundamental current component, the proposed methodology introduces a new BRB feature in the current spectrum which makes it much easier for identification. The distinctive time-frequency evolution pattern of this feature provides the reliable identification of BRBs, even under no-load operating conditions, thus overcoming the major drawback of traditional MCSA-based methods. Fault severity classification is easily performed through the magnitude inspection of the BRB fault-related current component. In addition, the proposed approach does not require high-complexity signal processing algorithms to achieve reliable results. The proposed concept is presented theoretically, assisted by a magnetically coupled multiple circuit model of the SCIM, both with healthy and faulty rotor bars. Finally, the experimental tests validate the proposed methodology and demonstrate its effectiveness and usefulness.https://ieeexplore.ieee.org/document/9770817/Squirrel-cage induction machineDC~injection brakingbroken rotor barfault detection |
| spellingShingle | Dejan G. Jerkan Dejan Reljic Ivan Todorovic Ivana Isakov Vlado Porobic Drazen Dujic Detection of Broken Rotor Bars in a Cage Induction Machine Using DC Injection Braking IEEE Access Squirrel-cage induction machine DC~injection braking broken rotor bar fault detection |
| title | Detection of Broken Rotor Bars in a Cage Induction Machine Using DC Injection Braking |
| title_full | Detection of Broken Rotor Bars in a Cage Induction Machine Using DC Injection Braking |
| title_fullStr | Detection of Broken Rotor Bars in a Cage Induction Machine Using DC Injection Braking |
| title_full_unstemmed | Detection of Broken Rotor Bars in a Cage Induction Machine Using DC Injection Braking |
| title_short | Detection of Broken Rotor Bars in a Cage Induction Machine Using DC Injection Braking |
| title_sort | detection of broken rotor bars in a cage induction machine using dc injection braking |
| topic | Squirrel-cage induction machine DC~injection braking broken rotor bar fault detection |
| url | https://ieeexplore.ieee.org/document/9770817/ |
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