Accurate Criteria for Broken Bar Detection in Induction Motors Based on the Wavelet (Packet) Transform
Finding reliable and robust criteria for the detection of broken bars in induction motors is key for the maintenance of industrial engines, and some of the most efficient methods analyze the stator start-up current. Due to the transitory characteristics and short duration of the signal, suitable tim...
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-04-01
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| Series: | Mathematics |
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| Online Access: | https://www.mdpi.com/2227-7390/12/7/1057 |
| _version_ | 1797212210703892480 |
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| author | Jose Alfonso Antonino-Daviu Félix Martínez-Giménez Alfred Peris Nasrin Ramezanzadeh Francisco Rodenas |
| author_facet | Jose Alfonso Antonino-Daviu Félix Martínez-Giménez Alfred Peris Nasrin Ramezanzadeh Francisco Rodenas |
| author_sort | Jose Alfonso Antonino-Daviu |
| collection | DOAJ |
| description | Finding reliable and robust criteria for the detection of broken bars in induction motors is key for the maintenance of industrial engines, and some of the most efficient methods analyze the stator start-up current. Due to the transitory characteristics and short duration of the signal, suitable time-frequency mathematical tools are very useful for this purpose. We propose here algorithms based on the discrete wavelet and wavelet packet transform, combined with other tools in signal processing, to offer an accurate quantitative method for failure detection due to broken bars in induction motors. A good selection of the wavelet family is important for a good performance of the indicator, and the discrete approximation of the Meyer wavelet, ‘dmeyer’, consistently demonstrates the most favorable results. Our findings highlight the effectiveness of both the wavelet and wavelet packet transforms in accurately detecting broken bars in induction motors. This fact allows optimal monitoring strategies in industrial applications. |
| first_indexed | 2024-04-24T10:38:46Z |
| format | Article |
| id | doaj.art-1c13b4e7378c480b8f8e1ac9587c30e7 |
| institution | Directory Open Access Journal |
| issn | 2227-7390 |
| language | English |
| last_indexed | 2024-04-24T10:38:46Z |
| publishDate | 2024-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Mathematics |
| spelling | doaj.art-1c13b4e7378c480b8f8e1ac9587c30e72024-04-12T13:22:45ZengMDPI AGMathematics2227-73902024-04-01127105710.3390/math12071057Accurate Criteria for Broken Bar Detection in Induction Motors Based on the Wavelet (Packet) TransformJose Alfonso Antonino-Daviu0Félix Martínez-Giménez1Alfred Peris2Nasrin Ramezanzadeh3Francisco Rodenas4Instituto Tecnológico de la Energía, Universitat Politècnica de València, 46022 València, SpainInstitut Universitari de Matemàtica Pura i Aplicada, Universitat Politècnica de València, 46022 València, SpainInstitut Universitari de Matemàtica Pura i Aplicada, Universitat Politècnica de València, 46022 València, SpainInstitut Universitari de Matemàtica Pura i Aplicada, Universitat Politècnica de València, 46022 València, SpainInstitut Universitari de Matemàtica Pura i Aplicada, Universitat Politècnica de València, 46022 València, SpainFinding reliable and robust criteria for the detection of broken bars in induction motors is key for the maintenance of industrial engines, and some of the most efficient methods analyze the stator start-up current. Due to the transitory characteristics and short duration of the signal, suitable time-frequency mathematical tools are very useful for this purpose. We propose here algorithms based on the discrete wavelet and wavelet packet transform, combined with other tools in signal processing, to offer an accurate quantitative method for failure detection due to broken bars in induction motors. A good selection of the wavelet family is important for a good performance of the indicator, and the discrete approximation of the Meyer wavelet, ‘dmeyer’, consistently demonstrates the most favorable results. Our findings highlight the effectiveness of both the wavelet and wavelet packet transforms in accurately detecting broken bars in induction motors. This fact allows optimal monitoring strategies in industrial applications.https://www.mdpi.com/2227-7390/12/7/1057wavelet transformwavelet packet transformfaults detectionelectrical machinebroken bars |
| spellingShingle | Jose Alfonso Antonino-Daviu Félix Martínez-Giménez Alfred Peris Nasrin Ramezanzadeh Francisco Rodenas Accurate Criteria for Broken Bar Detection in Induction Motors Based on the Wavelet (Packet) Transform Mathematics wavelet transform wavelet packet transform faults detection electrical machine broken bars |
| title | Accurate Criteria for Broken Bar Detection in Induction Motors Based on the Wavelet (Packet) Transform |
| title_full | Accurate Criteria for Broken Bar Detection in Induction Motors Based on the Wavelet (Packet) Transform |
| title_fullStr | Accurate Criteria for Broken Bar Detection in Induction Motors Based on the Wavelet (Packet) Transform |
| title_full_unstemmed | Accurate Criteria for Broken Bar Detection in Induction Motors Based on the Wavelet (Packet) Transform |
| title_short | Accurate Criteria for Broken Bar Detection in Induction Motors Based on the Wavelet (Packet) Transform |
| title_sort | accurate criteria for broken bar detection in induction motors based on the wavelet packet transform |
| topic | wavelet transform wavelet packet transform faults detection electrical machine broken bars |
| url | https://www.mdpi.com/2227-7390/12/7/1057 |
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