The robust multi-scale deep-svdd model for anomaly online detection of rolling bearings

HIGHLIGHTS

• who: Linlin Kou and colleagues from the State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing, China have published the research: The Robust Multi-Scale Deep-SVDD Model for Anomaly Online Detection of Rolling Bearings, in the Journal: Sensors 2022, 22, x FOR PEER REVIEW of 29/07/2022
• what: To enable the transformation-based method to cess vibration signal data, the authors propose a data transformation method for vibration signals. process vibration signal data, the authors propose a data transformation method for vibration Specifically, the authors propose two transformations of . . .
  

   

  

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