Gearbox Fault Diagnosis Method Based on Improved MobileNetV3 and Transfer Learning

Gearbox Fault Diagnosis Method Based on Improved MobileNetV3 and Transfer Learning

Under different working conditions of gearbox, the feature extraction of fault signals is difficult, and large difference in data distribution affects the fault diagnosis results. Based on the problems, the research proposes a method based on improved MobileNetV3 network and transfer learning (TL-Pr...

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Bibliografiska uppgifter
Huvudupphovsmän: Yanping Du, Xuemin Cheng, Yuxin Liu, Shuihai Dou, Juncheng Tu, Yanlin Liu, Xianyang Su
Materialtyp: Artikel
Språk:English
Publicerad: Faculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in Osijek 2023-01-01
Serie:Tehnički Vjesnik
Ämnen:
deep learning
gearbox fault diagnosis
STFT
TL-Pro-MobileNetV3 network
transfer learning
Länkar:https://hrcak.srce.hr/file/417628

Internet

https://hrcak.srce.hr/file/417628

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