Broken Rotor Bar Detection in Induction Motors through Contrast Estimation
Induction motors (IM) are key components of any industrial process; hence, it is important to carry out continuous monitoring to detect incipient faults in them in order to avoid interruptions on production lines. Broken rotor bars (BRBs), which are among the most regular and most complex to detect...
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MDPI AG
2021
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oai:doaj.org-article:ae4c74986ca24fcd8478adafa512f51d2021-11-25T18:56:30ZBroken Rotor Bar Detection in Induction Motors through Contrast Estimation10.3390/s212274461424-8220https://doaj.org/article/ae4c74986ca24fcd8478adafa512f51d2021-11-01T00:00:00Zhttps://www.mdpi.com/1424-8220/21/22/7446https://doaj.org/toc/1424-8220Induction motors (IM) are key components of any industrial process; hence, it is important to carry out continuous monitoring to detect incipient faults in them in order to avoid interruptions on production lines. Broken rotor bars (BRBs), which are among the most regular and most complex to detect faults, have attracted the attention of many researchers, who are searching for reliable methods to recognize this condition with high certainty. Most proposed techniques in the literature are applied during the IM startup transient, making it necessary to develop more efficient fault detection techniques able to carry out fault identification during the IM steady state. In this work, a novel methodology based on motor current signal analysis and contrast estimation is introduced for BRB detection. It is worth noting that contrast has mainly been used in image processing for analyzing texture, and, to the best of the authors’ knowledge, it has never been used for diagnosing the operative condition of an induction motor. Experimental results from applying the approach put forward validate Unser and Tamura contrast definitions as useful indicators for identifying and classifying an IM operational condition as healthy, one broken bar (1BB), or two broken bars (2BB), with high certainty during its steady state.Edna Rocio Ferrucho-AlvarezAna Laura Martinez-HerreraEduardo Cabal-YepezCarlos Rodriguez-DonateMisael Lopez-RamirezRuth Ivonne Mata-ChavezMDPI AGarticlecontrast estimationbroken rotor barsfault diagnosisfuzzy logicinduction motorssteady stateChemical technologyTP1-1185ENSensors, Vol 21, Iss 7446, p 7446 (2021) |
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contrast estimation broken rotor bars fault diagnosis fuzzy logic induction motors steady state Chemical technology TP1-1185 |
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contrast estimation broken rotor bars fault diagnosis fuzzy logic induction motors steady state Chemical technology TP1-1185 Edna Rocio Ferrucho-Alvarez Ana Laura Martinez-Herrera Eduardo Cabal-Yepez Carlos Rodriguez-Donate Misael Lopez-Ramirez Ruth Ivonne Mata-Chavez Broken Rotor Bar Detection in Induction Motors through Contrast Estimation |
description |
Induction motors (IM) are key components of any industrial process; hence, it is important to carry out continuous monitoring to detect incipient faults in them in order to avoid interruptions on production lines. Broken rotor bars (BRBs), which are among the most regular and most complex to detect faults, have attracted the attention of many researchers, who are searching for reliable methods to recognize this condition with high certainty. Most proposed techniques in the literature are applied during the IM startup transient, making it necessary to develop more efficient fault detection techniques able to carry out fault identification during the IM steady state. In this work, a novel methodology based on motor current signal analysis and contrast estimation is introduced for BRB detection. It is worth noting that contrast has mainly been used in image processing for analyzing texture, and, to the best of the authors’ knowledge, it has never been used for diagnosing the operative condition of an induction motor. Experimental results from applying the approach put forward validate Unser and Tamura contrast definitions as useful indicators for identifying and classifying an IM operational condition as healthy, one broken bar (1BB), or two broken bars (2BB), with high certainty during its steady state. |
format |
article |
author |
Edna Rocio Ferrucho-Alvarez Ana Laura Martinez-Herrera Eduardo Cabal-Yepez Carlos Rodriguez-Donate Misael Lopez-Ramirez Ruth Ivonne Mata-Chavez |
author_facet |
Edna Rocio Ferrucho-Alvarez Ana Laura Martinez-Herrera Eduardo Cabal-Yepez Carlos Rodriguez-Donate Misael Lopez-Ramirez Ruth Ivonne Mata-Chavez |
author_sort |
Edna Rocio Ferrucho-Alvarez |
title |
Broken Rotor Bar Detection in Induction Motors through Contrast Estimation |
title_short |
Broken Rotor Bar Detection in Induction Motors through Contrast Estimation |
title_full |
Broken Rotor Bar Detection in Induction Motors through Contrast Estimation |
title_fullStr |
Broken Rotor Bar Detection in Induction Motors through Contrast Estimation |
title_full_unstemmed |
Broken Rotor Bar Detection in Induction Motors through Contrast Estimation |
title_sort |
broken rotor bar detection in induction motors through contrast estimation |
publisher |
MDPI AG |
publishDate |
2021 |
url |
https://doaj.org/article/ae4c74986ca24fcd8478adafa512f51d |
work_keys_str_mv |
AT ednarocioferruchoalvarez brokenrotorbardetectionininductionmotorsthroughcontrastestimation AT analauramartinezherrera brokenrotorbardetectionininductionmotorsthroughcontrastestimation AT eduardocabalyepez brokenrotorbardetectionininductionmotorsthroughcontrastestimation AT carlosrodriguezdonate brokenrotorbardetectionininductionmotorsthroughcontrastestimation AT misaellopezramirez brokenrotorbardetectionininductionmotorsthroughcontrastestimation AT ruthivonnematachavez brokenrotorbardetectionininductionmotorsthroughcontrastestimation |
_version_ |
1718410546383945728 |