Hjorth Parameters for Broken Rotor Bars Failures Characterization in Induction Motors
Fault detection and online condition monitoring of induction motors (IMs) play a critical role in the industry. Regarding this matter, scientists worldwide have developed different methods to monitor and detect various types of damages in IMs, such as damaged bearings, misalignment, and broken rotor...
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| Vydáno v: | IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC) (Online) Ročník 7; s. 1 - 5 |
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| Médium: | Konferenční příspěvek |
| Jazyk: | angličtina |
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IEEE
18.10.2023
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| ISSN: | 2573-0770 |
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| Abstract | Fault detection and online condition monitoring of induction motors (IMs) play a critical role in the industry. Regarding this matter, scientists worldwide have developed different methods to monitor and detect various types of damages in IMs, such as damaged bearings, misalignment, and broken rotor bars (BRBs), among others. In specific, the detection of a BRB has been the subject of special interest as it poses challenges when attempting early detection and can quickly evolve into catastrophic damages if not detected in a timely manner. As a contribution to this issue, this work explores the potential of the Hjorth parameters as indicators of BRBs using the current signals of an IM under different operating conditions, i.e., healthy (HLT), half BRB, one BRB, and two BRBs. The results obtained indicate that the Hjorth parameters are sensitive to the previously mentioned conditions, allowing the proposal of pattern recognition schemes for automatic classification. For this task, the k-means clustering method is proposed in this work because of its easy implementation. The obtained results confirm that the suggested techniques are reliable to monitor the IMs condition, reaching an accuracy of 98.75%. |
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| AbstractList | Fault detection and online condition monitoring of induction motors (IMs) play a critical role in the industry. Regarding this matter, scientists worldwide have developed different methods to monitor and detect various types of damages in IMs, such as damaged bearings, misalignment, and broken rotor bars (BRBs), among others. In specific, the detection of a BRB has been the subject of special interest as it poses challenges when attempting early detection and can quickly evolve into catastrophic damages if not detected in a timely manner. As a contribution to this issue, this work explores the potential of the Hjorth parameters as indicators of BRBs using the current signals of an IM under different operating conditions, i.e., healthy (HLT), half BRB, one BRB, and two BRBs. The results obtained indicate that the Hjorth parameters are sensitive to the previously mentioned conditions, allowing the proposal of pattern recognition schemes for automatic classification. For this task, the k-means clustering method is proposed in this work because of its easy implementation. The obtained results confirm that the suggested techniques are reliable to monitor the IMs condition, reaching an accuracy of 98.75%. |
| Author | Hernandez-Maldonado, R. Amezquita-Sanchez, J. P. de Santiago-Perez, J. J. Valtierra-Rodriguez, M. Barcenas-Peralta, R. D. Rivera-Guillen, J. R. Perez-Ramirez, C. A. |
| Author_xml | – sequence: 1 givenname: R. D. surname: Barcenas-Peralta fullname: Barcenas-Peralta, R. D. organization: Autonomous University of Queretaro,CA Dynamics Systems and Control,San Juan del Río, Querétaro,México – sequence: 2 givenname: C. A. surname: Perez-Ramirez fullname: Perez-Ramirez, C. A. organization: Autonomous University of Queretaro,CA Dynamics Systems and Control,San Juan del Río, Querétaro,México – sequence: 3 givenname: J. R. surname: Rivera-Guillen fullname: Rivera-Guillen, J. R. organization: Autonomous University of Queretaro,CA Dynamics Systems and Control,San Juan del Río, Querétaro,México – sequence: 4 givenname: J. P. surname: Amezquita-Sanchez fullname: Amezquita-Sanchez, J. P. organization: Autonomous University of Queretaro,CA Dynamics Systems and Control,San Juan del Río, Querétaro,México – sequence: 5 givenname: M. surname: Valtierra-Rodriguez fullname: Valtierra-Rodriguez, M. organization: Autonomous University of Queretaro,CA Dynamics Systems and Control,San Juan del Río, Querétaro,México – sequence: 6 givenname: R. surname: Hernandez-Maldonado fullname: Hernandez-Maldonado, R. organization: Autonomous University of Queretaro,CA Dynamics Systems and Control,San Juan del Río, Querétaro,México – sequence: 7 givenname: J. J. surname: de Santiago-Perez fullname: de Santiago-Perez, J. J. email: sapjj@uaq.mx organization: Autonomous University of Queretaro,CA Dynamics Systems and Control,San Juan del Río, Querétaro,México |
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| Snippet | Fault detection and online condition monitoring of induction motors (IMs) play a critical role in the industry. Regarding this matter, scientists worldwide... |
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| SubjectTerms | Bars Broken rotor bars Clustering methods Hjorth parameters Induction motor Induction motors Industries K-means clustering method Monitoring Proposals Rotors |
| Title | Hjorth Parameters for Broken Rotor Bars Failures Characterization in Induction Motors |
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