Gear Fault Diagnosis based on EEMD and Choi-Williams Distribution
In the process of gear fault feature extraction， empirical mode decomposition （EMD） has the problem of modal aliasing， intrinsic mode function（IMF） screening difficulty， and Wigner-Ville distribution（WVD） has cross-terms interference. So， a gear fault diagnosis method combining ensemble empirical mo...
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| Format: | Article |
| Language: | zho |
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Editorial Office of Journal of Mechanical Transmission
2019-04-01
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| Series: | Jixie chuandong |
| Subjects: | |
| Online Access: | http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2019.04.022 |
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| author | Xiaoyu Yang Piao Sheng Shuangxi Jing Junfa Leng |
| author_facet | Xiaoyu Yang Piao Sheng Shuangxi Jing Junfa Leng |
| author_sort | Xiaoyu Yang |
| collection | DOAJ |
| description | In the process of gear fault feature extraction， empirical mode decomposition （EMD） has the problem of modal aliasing， intrinsic mode function（IMF） screening difficulty， and Wigner-Ville distribution（WVD） has cross-terms interference. So， a gear fault diagnosis method combining ensemble empirical mode decomposition（EEMD） decomposition and Choi-Williams distribution（CWD） is proposed. Firstly， the collected signal is decomposed by EEMD and decomposed into the combination of single component intrinsic mode functions. Then， the false components are removed and IMFs are screened through the correlation coefficient and Shannon entropy. Finally， the selected IMF components are expressed in CWD time frequency graph， and the gear fault features are extracted with the characteristics of frequency and isochronous impact exhibited in the time-frequency domain. Through simulation and experimental analysis， the applicability and effectiveness of this proposed method in gearbox gear fault diagnosis are verified. |
| format | Article |
| id | doaj-art-72415d6d965b4dbcb237a72577bd94c2 |
| institution | Kabale University |
| issn | 1004-2539 |
| language | zho |
| publishDate | 2019-04-01 |
| publisher | Editorial Office of Journal of Mechanical Transmission |
| record_format | Article |
| series | Jixie chuandong |
| spelling | doaj-art-72415d6d965b4dbcb237a72577bd94c22025-01-10T14:01:00ZzhoEditorial Office of Journal of Mechanical TransmissionJixie chuandong1004-25392019-04-014312012430646465Gear Fault Diagnosis based on EEMD and Choi-Williams DistributionXiaoyu YangPiao ShengShuangxi JingJunfa LengIn the process of gear fault feature extraction， empirical mode decomposition （EMD） has the problem of modal aliasing， intrinsic mode function（IMF） screening difficulty， and Wigner-Ville distribution（WVD） has cross-terms interference. So， a gear fault diagnosis method combining ensemble empirical mode decomposition（EEMD） decomposition and Choi-Williams distribution（CWD） is proposed. Firstly， the collected signal is decomposed by EEMD and decomposed into the combination of single component intrinsic mode functions. Then， the false components are removed and IMFs are screened through the correlation coefficient and Shannon entropy. Finally， the selected IMF components are expressed in CWD time frequency graph， and the gear fault features are extracted with the characteristics of frequency and isochronous impact exhibited in the time-frequency domain. Through simulation and experimental analysis， the applicability and effectiveness of this proposed method in gearbox gear fault diagnosis are verified.http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2019.04.022GearFault diagnosisEnsemble empirical mode decomposition（EEMD）Choi-Williams distribution （CWD） |
| spellingShingle | Xiaoyu Yang Piao Sheng Shuangxi Jing Junfa Leng Gear Fault Diagnosis based on EEMD and Choi-Williams Distribution Jixie chuandong Gear Fault diagnosis Ensemble empirical mode decomposition（EEMD） Choi-Williams distribution （CWD） |
| title | Gear Fault Diagnosis based on EEMD and Choi-Williams Distribution |
| title_full | Gear Fault Diagnosis based on EEMD and Choi-Williams Distribution |
| title_fullStr | Gear Fault Diagnosis based on EEMD and Choi-Williams Distribution |
| title_full_unstemmed | Gear Fault Diagnosis based on EEMD and Choi-Williams Distribution |
| title_short | Gear Fault Diagnosis based on EEMD and Choi-Williams Distribution |
| title_sort | gear fault diagnosis based on eemd and choi williams distribution |
| topic | Gear Fault diagnosis Ensemble empirical mode decomposition（EEMD） Choi-Williams distribution （CWD） |
| url | http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2019.04.022 |
| work_keys_str_mv | AT xiaoyuyang gearfaultdiagnosisbasedoneemdandchoiwilliamsdistribution AT piaosheng gearfaultdiagnosisbasedoneemdandchoiwilliamsdistribution AT shuangxijing gearfaultdiagnosisbasedoneemdandchoiwilliamsdistribution AT junfaleng gearfaultdiagnosisbasedoneemdandchoiwilliamsdistribution |