Planetary Gearbox Fault Diagnosis based on LMD Sample Entropy and ELM
In order to solve the difficult problem of early fault feature extraction of planetary gearbox and consider that the planetary gearbox vibration signal is coupling and nonlinear，and the signal has multiple transmission paths，a planetary gearbox fault diagnosis method based on Local Mean Decompositio...
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| Format: | Article |
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Editorial Office of Journal of Mechanical Transmission
2020-04-01
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| Series: | Jixie chuandong |
| Subjects: | |
| Online Access: | http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2020.04.024 |
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| author | Zhang Ning Wei Xiuye Xu Jinhong |
| author_facet | Zhang Ning Wei Xiuye Xu Jinhong |
| author_sort | Zhang Ning |
| collection | DOAJ |
| description | In order to solve the difficult problem of early fault feature extraction of planetary gearbox and consider that the planetary gearbox vibration signal is coupling and nonlinear，and the signal has multiple transmission paths，a planetary gearbox fault diagnosis method based on Local Mean Decomposition（LMD） and Sample Entropy and Extreme Learning Machine（ELM） is proposed.Firstly，the vibration signal is adaptively decomposed into a plurality of PF components by LMD，and the first four PF components including the main fault information are selected in combination with the correlation coefficient and the variance contribution rate.Secondly，the Sample Entropy of the signal is calculated to form a feature vector.Finally，the feature vector is input into ELM for fault classification.Experiments are carried out on the planetary gearbox test bench，compared with the probabilistic neural network classification algorithm，and compared with the feature vector based on Singular Value Decomposition （SVD）.The results verify the effectiveness of the proposed method. |
| format | Article |
| id | doaj-art-995f49f6254547e99b8065b4c52d2760 |
| institution | Kabale University |
| issn | 1004-2539 |
| language | zho |
| publishDate | 2020-04-01 |
| publisher | Editorial Office of Journal of Mechanical Transmission |
| record_format | Article |
| series | Jixie chuandong |
| spelling | doaj-art-995f49f6254547e99b8065b4c52d27602025-01-10T14:44:34ZzhoEditorial Office of Journal of Mechanical TransmissionJixie chuandong1004-25392020-04-014415215731442998Planetary Gearbox Fault Diagnosis based on LMD Sample Entropy and ELMZhang NingWei XiuyeXu JinhongIn order to solve the difficult problem of early fault feature extraction of planetary gearbox and consider that the planetary gearbox vibration signal is coupling and nonlinear，and the signal has multiple transmission paths，a planetary gearbox fault diagnosis method based on Local Mean Decomposition（LMD） and Sample Entropy and Extreme Learning Machine（ELM） is proposed.Firstly，the vibration signal is adaptively decomposed into a plurality of PF components by LMD，and the first four PF components including the main fault information are selected in combination with the correlation coefficient and the variance contribution rate.Secondly，the Sample Entropy of the signal is calculated to form a feature vector.Finally，the feature vector is input into ELM for fault classification.Experiments are carried out on the planetary gearbox test bench，compared with the probabilistic neural network classification algorithm，and compared with the feature vector based on Singular Value Decomposition （SVD）.The results verify the effectiveness of the proposed method.http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2020.04.024Planetary gearbox |
| spellingShingle | Zhang Ning Wei Xiuye Xu Jinhong Planetary Gearbox Fault Diagnosis based on LMD Sample Entropy and ELM Jixie chuandong Planetary gearbox |
| title | Planetary Gearbox Fault Diagnosis based on LMD Sample Entropy and ELM |
| title_full | Planetary Gearbox Fault Diagnosis based on LMD Sample Entropy and ELM |
| title_fullStr | Planetary Gearbox Fault Diagnosis based on LMD Sample Entropy and ELM |
| title_full_unstemmed | Planetary Gearbox Fault Diagnosis based on LMD Sample Entropy and ELM |
| title_short | Planetary Gearbox Fault Diagnosis based on LMD Sample Entropy and ELM |
| title_sort | planetary gearbox fault diagnosis based on lmd sample entropy and elm |
| topic | Planetary gearbox |
| url | http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2020.04.024 |
| work_keys_str_mv | AT zhangning planetarygearboxfaultdiagnosisbasedonlmdsampleentropyandelm AT weixiuye planetarygearboxfaultdiagnosisbasedonlmdsampleentropyandelm AT xujinhong planetarygearboxfaultdiagnosisbasedonlmdsampleentropyandelm |