An improved convolutional capsule network for compound fault diagnosis of rv reducers

HIGHLIGHTS

  • who: Qitong Xu and colleagues from the Kunming University of Science and Technology, Kunming, China have published the Article: An Improved Convolutional Capsule Network for Compound Fault Diagnosis of RV Reducers, in the Journal: Sensors 2022, 6442 of 26/08/2022
  • what: Different from the single fault setting in the laboratory, the different faults are interrelated in an actual operation environment, and compound faults are more common and are the main reason for the failure of the RV reducer . In this paper, the margin loss function is used as the cost loss function of the . . .

     

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