Fault Diagnosis of Wind Turbine Gearbox based on LSGAN and VMD-MPE-KELM
In the actual working condition，the fault samples of wind turbine gearbox are mostly unbalanced. In order to overcome the influence of sample imbalance on the diagnosis effect，a fault diagnosis method of wind turbine gearbox based on LSGAN and VMD-MPE-KELM is proposed. Firstly，LSGAN algorithm is use...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | zho |
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Editorial Office of Journal of Mechanical Transmission
2021-11-01
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| Series: | Jixie chuandong |
| Subjects: | |
| Online Access: | http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2021.11.024 |
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| author | Cihai Qin Ruizhi Zhao Yueqiang Wang Yunfei Ding Dong Huang Xiaolin Lian |
| author_facet | Cihai Qin Ruizhi Zhao Yueqiang Wang Yunfei Ding Dong Huang Xiaolin Lian |
| author_sort | Cihai Qin |
| collection | DOAJ |
| description | In the actual working condition，the fault samples of wind turbine gearbox are mostly unbalanced. In order to overcome the influence of sample imbalance on the diagnosis effect，a fault diagnosis method of wind turbine gearbox based on LSGAN and VMD-MPE-KELM is proposed. Firstly，LSGAN algorithm is used to generate and process a few kinds of fault samples. The generated data with original sample characteristics is expanded to make its distribution balanced. The VMD method is used to decompose the vibration signals of all kinds of faults in the sample set，and the MPE value of each modal component is calculated to extract the signal features. Then，KPCA method is used to reduce the dimension to obtain the feature vector of fault samples，which is substituted into KELM model for diagnosis. The experimental results show that LSGAN algorithm overcomes the problems of GAN gradient disappearance，unstable training and poor data quality in generating fault samples. The VMD-MPE-KPCA method can effectively extract fault features. This method effectively improves the diagnosis accuracy of unbalanced gearbox fault samples. |
| format | Article |
| id | doaj-art-37d9cb8563504a048f4d23113f67eea0 |
| institution | Kabale University |
| issn | 1004-2539 |
| language | zho |
| publishDate | 2021-11-01 |
| publisher | Editorial Office of Journal of Mechanical Transmission |
| record_format | Article |
| series | Jixie chuandong |
| spelling | doaj-art-37d9cb8563504a048f4d23113f67eea02025-01-10T14:47:20ZzhoEditorial Office of Journal of Mechanical TransmissionJixie chuandong1004-25392021-11-014515316020727167Fault Diagnosis of Wind Turbine Gearbox based on LSGAN and VMD-MPE-KELMCihai QinRuizhi ZhaoYueqiang WangYunfei DingDong HuangXiaolin LianIn the actual working condition，the fault samples of wind turbine gearbox are mostly unbalanced. In order to overcome the influence of sample imbalance on the diagnosis effect，a fault diagnosis method of wind turbine gearbox based on LSGAN and VMD-MPE-KELM is proposed. Firstly，LSGAN algorithm is used to generate and process a few kinds of fault samples. The generated data with original sample characteristics is expanded to make its distribution balanced. The VMD method is used to decompose the vibration signals of all kinds of faults in the sample set，and the MPE value of each modal component is calculated to extract the signal features. Then，KPCA method is used to reduce the dimension to obtain the feature vector of fault samples，which is substituted into KELM model for diagnosis. The experimental results show that LSGAN algorithm overcomes the problems of GAN gradient disappearance，unstable training and poor data quality in generating fault samples. The VMD-MPE-KPCA method can effectively extract fault features. This method effectively improves the diagnosis accuracy of unbalanced gearbox fault samples.http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2021.11.024Variational mode decompositionLSGANGearboxMPEFault diagnosis |
| spellingShingle | Cihai Qin Ruizhi Zhao Yueqiang Wang Yunfei Ding Dong Huang Xiaolin Lian Fault Diagnosis of Wind Turbine Gearbox based on LSGAN and VMD-MPE-KELM Jixie chuandong Variational mode decomposition LSGAN Gearbox MPE Fault diagnosis |
| title | Fault Diagnosis of Wind Turbine Gearbox based on LSGAN and VMD-MPE-KELM |
| title_full | Fault Diagnosis of Wind Turbine Gearbox based on LSGAN and VMD-MPE-KELM |
| title_fullStr | Fault Diagnosis of Wind Turbine Gearbox based on LSGAN and VMD-MPE-KELM |
| title_full_unstemmed | Fault Diagnosis of Wind Turbine Gearbox based on LSGAN and VMD-MPE-KELM |
| title_short | Fault Diagnosis of Wind Turbine Gearbox based on LSGAN and VMD-MPE-KELM |
| title_sort | fault diagnosis of wind turbine gearbox based on lsgan and vmd mpe kelm |
| topic | Variational mode decomposition LSGAN Gearbox MPE Fault diagnosis |
| url | http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2021.11.024 |
| work_keys_str_mv | AT cihaiqin faultdiagnosisofwindturbinegearboxbasedonlsganandvmdmpekelm AT ruizhizhao faultdiagnosisofwindturbinegearboxbasedonlsganandvmdmpekelm AT yueqiangwang faultdiagnosisofwindturbinegearboxbasedonlsganandvmdmpekelm AT yunfeiding faultdiagnosisofwindturbinegearboxbasedonlsganandvmdmpekelm AT donghuang faultdiagnosisofwindturbinegearboxbasedonlsganandvmdmpekelm AT xiaolinlian faultdiagnosisofwindturbinegearboxbasedonlsganandvmdmpekelm |