Diagnosis of broken rotor bars in cage motors under time-varying loads
Under time-varying loads, the stator current of cage motors shows non-stationary and non-periodic, which makes the existing rotor broken bar fault identification method under time-varying loads fail to diagnose due to the influence of the fundamental frequency modulation of the current. This paper p...
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| Format: | Article |
| Language: | zho |
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Editorial Office of Journal of XPU
2024-08-01
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| Series: | Xi'an Gongcheng Daxue xuebao |
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| Online Access: | http://journal.xpu.edu.cn/en/#/digest?ArticleID=1491 |
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| _version_ | 1850271821480329216 |
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| author | SHI Jie SUN Hao KONG Lingsong |
| author_facet | SHI Jie SUN Hao KONG Lingsong |
| author_sort | SHI Jie |
| collection | DOAJ |
| description | Under time-varying loads, the stator current of cage motors shows non-stationary and non-periodic, which makes the existing rotor broken bar fault identification method under time-varying loads fail to diagnose due to the influence of the fundamental frequency modulation of the current. This paper proposes a time-varying load cage motor diagnostic method based on the Teager-Kaiser energy operator (TKEO), a new method for rotor broken bar fault diagnosis. The method used TKEO to extract the instantaneous frequency of the current signal to determine the severity of the broken bar fault of the motor. In order to verify the effectiveness and superiority of the method, the current signals under different health states and different load conditions were experimentally obtained and diagnosed. The analysis results were also compared with the traditional method. In multiple dimensions. The results show that this method is able to distinguish the health state of the motor more accurately under time-varying loads, and has stronger robustness to load disturbances; especially under light-load operation, the numerical difference of the relative change gradient of the method is 4~6 times higher in comparison with that of the traditional method. In addition, the extracted fluctuation range of the fault frequency is more concentrated in the range between 0~5 Hz. |
| format | Article |
| id | doaj-art-ca17bb5d911e49e9ac3ba6f094041583 |
| institution | OA Journals |
| issn | 1674-649X |
| language | zho |
| publishDate | 2024-08-01 |
| publisher | Editorial Office of Journal of XPU |
| record_format | Article |
| series | Xi'an Gongcheng Daxue xuebao |
| spelling | doaj-art-ca17bb5d911e49e9ac3ba6f0940415832025-08-20T01:52:06ZzhoEditorial Office of Journal of XPUXi'an Gongcheng Daxue xuebao1674-649X2024-08-0138411312110.13338/j.issn.1674-649x.2024.04.015Diagnosis of broken rotor bars in cage motors under time-varying loadsSHI Jie0SUN Hao1KONG Lingsong2School of Electronics and Information Engineering, Suzhou University of Science and Technology, Suzhou 215009, Jiangsu, ChinaSchool of Electronics and Information Engineering, Suzhou University of Science and Technology, Suzhou 215009, Jiangsu, ChinaSchool of Electronics and Information Engineering, Suzhou University of Science and Technology, Suzhou 215009, Jiangsu, ChinaUnder time-varying loads, the stator current of cage motors shows non-stationary and non-periodic, which makes the existing rotor broken bar fault identification method under time-varying loads fail to diagnose due to the influence of the fundamental frequency modulation of the current. This paper proposes a time-varying load cage motor diagnostic method based on the Teager-Kaiser energy operator (TKEO), a new method for rotor broken bar fault diagnosis. The method used TKEO to extract the instantaneous frequency of the current signal to determine the severity of the broken bar fault of the motor. In order to verify the effectiveness and superiority of the method, the current signals under different health states and different load conditions were experimentally obtained and diagnosed. The analysis results were also compared with the traditional method. In multiple dimensions. The results show that this method is able to distinguish the health state of the motor more accurately under time-varying loads, and has stronger robustness to load disturbances; especially under light-load operation, the numerical difference of the relative change gradient of the method is 4~6 times higher in comparison with that of the traditional method. In addition, the extracted fluctuation range of the fault frequency is more concentrated in the range between 0~5 Hz.http://journal.xpu.edu.cn/en/#/digest?ArticleID=1491time-varying loadscage motorsrotor failuretkeofault diagnosis |
| spellingShingle | SHI Jie SUN Hao KONG Lingsong Diagnosis of broken rotor bars in cage motors under time-varying loads Xi'an Gongcheng Daxue xuebao time-varying loads cage motors rotor failure tkeo fault diagnosis |
| title | Diagnosis of broken rotor bars in cage motors under time-varying loads |
| title_full | Diagnosis of broken rotor bars in cage motors under time-varying loads |
| title_fullStr | Diagnosis of broken rotor bars in cage motors under time-varying loads |
| title_full_unstemmed | Diagnosis of broken rotor bars in cage motors under time-varying loads |
| title_short | Diagnosis of broken rotor bars in cage motors under time-varying loads |
| title_sort | diagnosis of broken rotor bars in cage motors under time varying loads |
| topic | time-varying loads cage motors rotor failure tkeo fault diagnosis |
| url | http://journal.xpu.edu.cn/en/#/digest?ArticleID=1491 |
| work_keys_str_mv | AT shijie diagnosisofbrokenrotorbarsincagemotorsundertimevaryingloads AT sunhao diagnosisofbrokenrotorbarsincagemotorsundertimevaryingloads AT konglingsong diagnosisofbrokenrotorbarsincagemotorsundertimevaryingloads |