Residual Life Prediction of Metro Traction Motor Bearing Based on Convolutional Neural Network
In order to solve the problem that a single type of sensor cannot fully reflect the bearing life information in the process of bearing residual life prediction of metro traction motor, a bearing residual life prediction method based on multi-information fusion and convolutional neural network is pro...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-01-01
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| Series: | Shock and Vibration |
| Online Access: | http://dx.doi.org/10.1155/2021/5271785 |
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| _version_ | 1832549209547472896 |
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| author | Yanwei Xu Weiwei Cai Tancheng Xie Pengfei Zhao |
| author_facet | Yanwei Xu Weiwei Cai Tancheng Xie Pengfei Zhao |
| author_sort | Yanwei Xu |
| collection | DOAJ |
| description | In order to solve the problem that a single type of sensor cannot fully reflect the bearing life information in the process of bearing residual life prediction of metro traction motor, a bearing residual life prediction method based on multi-information fusion and convolutional neural network is proposed. Firstly, the vibration sensor and acoustic emission sensor are used to collect the bearing life signals on the bearing fatigue life test bench. Secondly, wavelet packet decomposition is used to denoise the collected bearing life signal and extract multiple eigenvalues. On this basis, the multiple eigenvalues are normalized, and the bearing degradation trend is analyzed. Finally, the collected bearing life is divided into five stages, and the processed multiple eigenvalues are fused and input into convolutional neural network for training and recognition. The results show that the probability of predicting the stage of bearing life based on multiple eigenvalues and convolutional neural network is more than 98%. |
| format | Article |
| id | doaj-art-f9f61aa990e84f0390e54bb349cf299a |
| institution | Kabale University |
| issn | 1070-9622 1875-9203 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Shock and Vibration |
| spelling | doaj-art-f9f61aa990e84f0390e54bb349cf299a2025-02-03T06:12:00ZengWileyShock and Vibration1070-96221875-92032021-01-01202110.1155/2021/52717855271785Residual Life Prediction of Metro Traction Motor Bearing Based on Convolutional Neural NetworkYanwei Xu0Weiwei Cai1Tancheng Xie2Pengfei Zhao3School of Mechatronics Engineering, Henan University of Science and Technology, Luoyang 471003, ChinaSchool of Mechatronics Engineering, Henan University of Science and Technology, Luoyang 471003, ChinaSchool of Mechatronics Engineering, Henan University of Science and Technology, Luoyang 471003, ChinaSchool of Mechatronics Engineering, Henan University of Science and Technology, Luoyang 471003, ChinaIn order to solve the problem that a single type of sensor cannot fully reflect the bearing life information in the process of bearing residual life prediction of metro traction motor, a bearing residual life prediction method based on multi-information fusion and convolutional neural network is proposed. Firstly, the vibration sensor and acoustic emission sensor are used to collect the bearing life signals on the bearing fatigue life test bench. Secondly, wavelet packet decomposition is used to denoise the collected bearing life signal and extract multiple eigenvalues. On this basis, the multiple eigenvalues are normalized, and the bearing degradation trend is analyzed. Finally, the collected bearing life is divided into five stages, and the processed multiple eigenvalues are fused and input into convolutional neural network for training and recognition. The results show that the probability of predicting the stage of bearing life based on multiple eigenvalues and convolutional neural network is more than 98%.http://dx.doi.org/10.1155/2021/5271785 |
| spellingShingle | Yanwei Xu Weiwei Cai Tancheng Xie Pengfei Zhao Residual Life Prediction of Metro Traction Motor Bearing Based on Convolutional Neural Network Shock and Vibration |
| title | Residual Life Prediction of Metro Traction Motor Bearing Based on Convolutional Neural Network |
| title_full | Residual Life Prediction of Metro Traction Motor Bearing Based on Convolutional Neural Network |
| title_fullStr | Residual Life Prediction of Metro Traction Motor Bearing Based on Convolutional Neural Network |
| title_full_unstemmed | Residual Life Prediction of Metro Traction Motor Bearing Based on Convolutional Neural Network |
| title_short | Residual Life Prediction of Metro Traction Motor Bearing Based on Convolutional Neural Network |
| title_sort | residual life prediction of metro traction motor bearing based on convolutional neural network |
| url | http://dx.doi.org/10.1155/2021/5271785 |
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