Intelligentfaultseveritydetectionofrotatingmachinesbasedon vmd-wvd and parameter-optimized dbn

HIGHLIGHTS

  • who: Ning Jia and collaborators from the College of Mechanical Engineering, Chongqing University of Technology, Chongqing, China have published the paper: IntelligentFaultSeverityDetectionofRotatingMachinesBasedon VMD-WVD and Parameter-Optimized DBN, in the Journal: Shock and Vibration of 21/03/2022
  • what: The analysis shows that the diagnosis rate of the hyperparametric optimized model is much higher than that of the empirical model. The model presented in this article is a deep model that can adaptively extract defect characteristics directly from the spectrum and complete intelligent health status diagnosis. The algorithms given in this work have a high . . .

     

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