ROLLING BEARING FAULT DIAGNOSIS MЕТHOD BASED ON MORLET WAVELET AND CART DECISION TREE
In view of the technical problems in the process of rolling bearing fault diagnosis such as sample processing and identification of faults, a fault diagnosis classification method based on Morlet wavelets and classification and regression tree (CART) was proposed. Firstly, the Morlet wavelet analysi...
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| Format: | Article |
| Language: | zho |
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Editorial Office of Journal of Mechanical Strength
2024-02-01
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| Series: | Jixie qiangdu |
| Subjects: | |
| Online Access: | http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2024.01.001 |
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| _version_ | 1841534197232041984 |
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| author | LIU JunLi MIAO BingRong ZHANG Ying Ll YongJian HUANG Zhong |
| author_facet | LIU JunLi MIAO BingRong ZHANG Ying Ll YongJian HUANG Zhong |
| author_sort | LIU JunLi |
| collection | DOAJ |
| description | In view of the technical problems in the process of rolling bearing fault diagnosis such as sample processing and identification of faults, a fault diagnosis classification method based on Morlet wavelets and classification and regression tree (CART) was proposed. Firstly, the Morlet wavelet analysis method and moving window method were used to process samples of the measured vibration signal of bearing. Secondly , the variational modal decomposition and feature extraction were performed on the extracted short samples to complete the construction of the training and test sets. Then, the training set was used to train the CART decision tree classification model, while random search and K-fold cross-validation were introduced to obtain the ideal classification model of bearing fault by optimizing the key parameters of the model. The test set validation results show that the method not only achieves effective diagnosis of various bearing faults and performs well in test sets with noise, but also significantly reduces the data length and sampling time of individual samples. |
| format | Article |
| id | doaj-art-b72cfddbce78404aaa49677f24475f91 |
| institution | Kabale University |
| issn | 1001-9669 |
| language | zho |
| publishDate | 2024-02-01 |
| publisher | Editorial Office of Journal of Mechanical Strength |
| record_format | Article |
| series | Jixie qiangdu |
| spelling | doaj-art-b72cfddbce78404aaa49677f24475f912025-01-15T02:44:42ZzhoEditorial Office of Journal of Mechanical StrengthJixie qiangdu1001-96692024-02-01461855273159ROLLING BEARING FAULT DIAGNOSIS MЕТHOD BASED ON MORLET WAVELET AND CART DECISION TREELIU JunLiMIAO BingRongZHANG YingLl YongJianHUANG ZhongIn view of the technical problems in the process of rolling bearing fault diagnosis such as sample processing and identification of faults, a fault diagnosis classification method based on Morlet wavelets and classification and regression tree (CART) was proposed. Firstly, the Morlet wavelet analysis method and moving window method were used to process samples of the measured vibration signal of bearing. Secondly , the variational modal decomposition and feature extraction were performed on the extracted short samples to complete the construction of the training and test sets. Then, the training set was used to train the CART decision tree classification model, while random search and K-fold cross-validation were introduced to obtain the ideal classification model of bearing fault by optimizing the key parameters of the model. The test set validation results show that the method not only achieves effective diagnosis of various bearing faults and performs well in test sets with noise, but also significantly reduces the data length and sampling time of individual samples.http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2024.01.001Fault diagnosisRolling bearingMorlet waveletVMDCART decision tree |
| spellingShingle | LIU JunLi MIAO BingRong ZHANG Ying Ll YongJian HUANG Zhong ROLLING BEARING FAULT DIAGNOSIS MЕТHOD BASED ON MORLET WAVELET AND CART DECISION TREE Jixie qiangdu Fault diagnosis Rolling bearing Morlet wavelet VMD CART decision tree |
| title | ROLLING BEARING FAULT DIAGNOSIS MЕТHOD BASED ON MORLET WAVELET AND CART DECISION TREE |
| title_full | ROLLING BEARING FAULT DIAGNOSIS MЕТHOD BASED ON MORLET WAVELET AND CART DECISION TREE |
| title_fullStr | ROLLING BEARING FAULT DIAGNOSIS MЕТHOD BASED ON MORLET WAVELET AND CART DECISION TREE |
| title_full_unstemmed | ROLLING BEARING FAULT DIAGNOSIS MЕТHOD BASED ON MORLET WAVELET AND CART DECISION TREE |
| title_short | ROLLING BEARING FAULT DIAGNOSIS MЕТHOD BASED ON MORLET WAVELET AND CART DECISION TREE |
| title_sort | rolling bearing fault diagnosis mетhod based on morlet wavelet and cart decision tree |
| topic | Fault diagnosis Rolling bearing Morlet wavelet VMD CART decision tree |
| url | http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2024.01.001 |
| work_keys_str_mv | AT liujunli rollingbearingfaultdiagnosismethodbasedonmorletwaveletandcartdecisiontree AT miaobingrong rollingbearingfaultdiagnosismethodbasedonmorletwaveletandcartdecisiontree AT zhangying rollingbearingfaultdiagnosismethodbasedonmorletwaveletandcartdecisiontree AT llyongjian rollingbearingfaultdiagnosismethodbasedonmorletwaveletandcartdecisiontree AT huangzhong rollingbearingfaultdiagnosismethodbasedonmorletwaveletandcartdecisiontree |