Fault Diagnosis Method of Planetary Gearboxes Based on LMD Permutation Entropy and BP Neural Network
In view of the problems of poor discrimination of fault feature vectors extracted in the process of fault diagnosis of planetary gearboxes and insufficient diagnosis success rate, a method based on Local Mean Decomposition（LMD） permutation entropy and BP neural network is proposed. Through the LMD d...
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
Editorial Office of Journal of Mechanical Transmission
2022-10-01
|
| Series: | Jixie chuandong |
| Subjects: | |
| Online Access: | http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2022.10.002 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1841547340794560512 |
|---|---|
| author | Gao Sujie Wu Shijing Zhou Jianhua Zheng Pan Chen Ben Xu Jiacai |
| author_facet | Gao Sujie Wu Shijing Zhou Jianhua Zheng Pan Chen Ben Xu Jiacai |
| author_sort | Gao Sujie |
| collection | DOAJ |
| description | In view of the problems of poor discrimination of fault feature vectors extracted in the process of fault diagnosis of planetary gearboxes and insufficient diagnosis success rate, a method based on Local Mean Decomposition（LMD） permutation entropy and BP neural network is proposed. Through the LMD decomposition of the original signal, the PF components containing the main information are obtained, and the permutation entropy values are calculated to construct the feature vector. The extracted feature vectors are used to train the BP neural network and complete the failure pattern recognition test. Taking the EMD permutation entropy method and the non-dimensional analysis method as the comparison groups, the experiment proves that the feature vectors extracted from different working conditions with this method are more distinguishable, and the fault diagnosis effect is better. Moreover, this method shows better comprehensive performance when the number of training groups changes. |
| format | Article |
| id | doaj-art-7a27fd5e1a0f44d6b1c7213a9c81ea26 |
| institution | Kabale University |
| issn | 1004-2539 |
| language | zho |
| publishDate | 2022-10-01 |
| publisher | Editorial Office of Journal of Mechanical Transmission |
| record_format | Article |
| series | Jixie chuandong |
| spelling | doaj-art-7a27fd5e1a0f44d6b1c7213a9c81ea262025-01-10T14:47:02ZzhoEditorial Office of Journal of Mechanical TransmissionJixie chuandong1004-25392022-10-0146101631572037Fault Diagnosis Method of Planetary Gearboxes Based on LMD Permutation Entropy and BP Neural NetworkGao SujieWu ShijingZhou JianhuaZheng PanChen BenXu JiacaiIn view of the problems of poor discrimination of fault feature vectors extracted in the process of fault diagnosis of planetary gearboxes and insufficient diagnosis success rate, a method based on Local Mean Decomposition（LMD） permutation entropy and BP neural network is proposed. Through the LMD decomposition of the original signal, the PF components containing the main information are obtained, and the permutation entropy values are calculated to construct the feature vector. The extracted feature vectors are used to train the BP neural network and complete the failure pattern recognition test. Taking the EMD permutation entropy method and the non-dimensional analysis method as the comparison groups, the experiment proves that the feature vectors extracted from different working conditions with this method are more distinguishable, and the fault diagnosis effect is better. Moreover, this method shows better comprehensive performance when the number of training groups changes.http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2022.10.002Planetary gearboxFault diagnosisLocal mean decompositionPermutation entropyBP neural network |
| spellingShingle | Gao Sujie Wu Shijing Zhou Jianhua Zheng Pan Chen Ben Xu Jiacai Fault Diagnosis Method of Planetary Gearboxes Based on LMD Permutation Entropy and BP Neural Network Jixie chuandong Planetary gearbox Fault diagnosis Local mean decomposition Permutation entropy BP neural network |
| title | Fault Diagnosis Method of Planetary Gearboxes Based on LMD Permutation Entropy and BP Neural Network |
| title_full | Fault Diagnosis Method of Planetary Gearboxes Based on LMD Permutation Entropy and BP Neural Network |
| title_fullStr | Fault Diagnosis Method of Planetary Gearboxes Based on LMD Permutation Entropy and BP Neural Network |
| title_full_unstemmed | Fault Diagnosis Method of Planetary Gearboxes Based on LMD Permutation Entropy and BP Neural Network |
| title_short | Fault Diagnosis Method of Planetary Gearboxes Based on LMD Permutation Entropy and BP Neural Network |
| title_sort | fault diagnosis method of planetary gearboxes based on lmd permutation entropy and bp neural network |
| topic | Planetary gearbox Fault diagnosis Local mean decomposition Permutation entropy BP neural network |
| url | http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2022.10.002 |
| work_keys_str_mv | AT gaosujie faultdiagnosismethodofplanetarygearboxesbasedonlmdpermutationentropyandbpneuralnetwork AT wushijing faultdiagnosismethodofplanetarygearboxesbasedonlmdpermutationentropyandbpneuralnetwork AT zhoujianhua faultdiagnosismethodofplanetarygearboxesbasedonlmdpermutationentropyandbpneuralnetwork AT zhengpan faultdiagnosismethodofplanetarygearboxesbasedonlmdpermutationentropyandbpneuralnetwork AT chenben faultdiagnosismethodofplanetarygearboxesbasedonlmdpermutationentropyandbpneuralnetwork AT xujiacai faultdiagnosismethodofplanetarygearboxesbasedonlmdpermutationentropyandbpneuralnetwork |