Bearing Fault Diagnosis based on Feature Visualization and Depth Adaptive Network
Aiming at the problem that feature extraction in bearing fault diagnosis needs to rely heavily on manual experience and expert knowledge，a bearing fault diagnosis method based on Gramian angle field（GAF） transformation and adaptive depth network is proposed. Firstly，the collected signals are analyze...
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| Autori principali: | , , |
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| Natura: | Artigo |
| Lingua: | Chinês |
| Pubblicazione: |
Editorial Office of Journal of Mechanical Transmission
2022-07-01
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| Serie: | Jixie chuandong |
| Soggetti: | |
| Accesso online: | http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2022.07.024 |
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