Fault Diagnosis of Small Sample Automobile Planetary Gearboxes Based on Continuous Wavelet Transform and Model Agnostic Meta Learning
Aiming at the problem that the vibration signal of planetary gearboxes has strong non-stationary characteristics， few fault samples and the dependence of traditional deep learning on data， an intelligent diagnosis method for planetary gearboxes based on continuous wavelet transform（CWT） and model ag...
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| Format: | Article |
| Language: | zho |
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Editorial Office of Journal of Mechanical Transmission
2022-09-01
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| Series: | Jixie chuandong |
| Subjects: | |
| Online Access: | http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2022.09.022 |
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| author | Xinxin Lu Jun Ma Yingcong Zhang |
| author_facet | Xinxin Lu Jun Ma Yingcong Zhang |
| author_sort | Xinxin Lu |
| collection | DOAJ |
| description | Aiming at the problem that the vibration signal of planetary gearboxes has strong non-stationary characteristics， few fault samples and the dependence of traditional deep learning on data， an intelligent diagnosis method for planetary gearboxes based on continuous wavelet transform（CWT） and model agnostic meta learning（MAML） is proposed. First， the vibration signal of the planetary gearbox is converted into a time-frequency image through CWT， which effectively expresses the non-stationary characteristics of the planetary gearbox； then， the ability of “learning to learn” of MAML is used to train small samples of time-frequency images， and finally the “unseen” faults of planetary gearboxes are tested. Through fault diagnosis experiments of planetary gearboxes under different sample sizes， working conditions and noise environments， a conclusion is drawn that the proposed method has higher recognition accuracy， generalization and robustness compared with other methods. |
| format | Article |
| id | doaj-art-2b0d2bcaa7ce45a39ffb763df2385a82 |
| institution | Kabale University |
| issn | 1004-2539 |
| language | zho |
| publishDate | 2022-09-01 |
| publisher | Editorial Office of Journal of Mechanical Transmission |
| record_format | Article |
| series | Jixie chuandong |
| spelling | doaj-art-2b0d2bcaa7ce45a39ffb763df2385a822025-01-10T13:59:57ZzhoEditorial Office of Journal of Mechanical TransmissionJixie chuandong1004-25392022-09-014615916430487516Fault Diagnosis of Small Sample Automobile Planetary Gearboxes Based on Continuous Wavelet Transform and Model Agnostic Meta LearningXinxin LuJun MaYingcong ZhangAiming at the problem that the vibration signal of planetary gearboxes has strong non-stationary characteristics， few fault samples and the dependence of traditional deep learning on data， an intelligent diagnosis method for planetary gearboxes based on continuous wavelet transform（CWT） and model agnostic meta learning（MAML） is proposed. First， the vibration signal of the planetary gearbox is converted into a time-frequency image through CWT， which effectively expresses the non-stationary characteristics of the planetary gearbox； then， the ability of “learning to learn” of MAML is used to train small samples of time-frequency images， and finally the “unseen” faults of planetary gearboxes are tested. Through fault diagnosis experiments of planetary gearboxes under different sample sizes， working conditions and noise environments， a conclusion is drawn that the proposed method has higher recognition accuracy， generalization and robustness compared with other methods.http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2022.09.022Planetary gearboxesContinuous wavelet transformModel agnostic meta learningFew shot learningFault diagnosis |
| spellingShingle | Xinxin Lu Jun Ma Yingcong Zhang Fault Diagnosis of Small Sample Automobile Planetary Gearboxes Based on Continuous Wavelet Transform and Model Agnostic Meta Learning Jixie chuandong Planetary gearboxes Continuous wavelet transform Model agnostic meta learning Few shot learning Fault diagnosis |
| title | Fault Diagnosis of Small Sample Automobile Planetary Gearboxes Based on Continuous Wavelet Transform and Model Agnostic Meta Learning |
| title_full | Fault Diagnosis of Small Sample Automobile Planetary Gearboxes Based on Continuous Wavelet Transform and Model Agnostic Meta Learning |
| title_fullStr | Fault Diagnosis of Small Sample Automobile Planetary Gearboxes Based on Continuous Wavelet Transform and Model Agnostic Meta Learning |
| title_full_unstemmed | Fault Diagnosis of Small Sample Automobile Planetary Gearboxes Based on Continuous Wavelet Transform and Model Agnostic Meta Learning |
| title_short | Fault Diagnosis of Small Sample Automobile Planetary Gearboxes Based on Continuous Wavelet Transform and Model Agnostic Meta Learning |
| title_sort | fault diagnosis of small sample automobile planetary gearboxes based on continuous wavelet transform and model agnostic meta learning |
| topic | Planetary gearboxes Continuous wavelet transform Model agnostic meta learning Few shot learning Fault diagnosis |
| url | http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2022.09.022 |
| work_keys_str_mv | AT xinxinlu faultdiagnosisofsmallsampleautomobileplanetarygearboxesbasedoncontinuouswavelettransformandmodelagnosticmetalearning AT junma faultdiagnosisofsmallsampleautomobileplanetarygearboxesbasedoncontinuouswavelettransformandmodelagnosticmetalearning AT yingcongzhang faultdiagnosisofsmallsampleautomobileplanetarygearboxesbasedoncontinuouswavelettransformandmodelagnosticmetalearning |