Online system prognostics with ensemble models

HIGHLIGHTS

  • who: MDPI from the Ford Motor Company, Village Road, Dearborn, MI, USA , Department of Industrial and Systems Engineering, Wayne State University, Fourth Street have published the research: Online System Prognostics with Ensemble Models, in the Journal: Machines 2023, 40 of /2023/
  • what: With the advancement in sensing and computer hardware (cloud), the authors aim at using this research for further develu2010 opment of common and generic learning and computer modules as the essential part of a larger CBM ecosystem. The case studies focus on the followu2010 ing two common applications in PHM: (i) drilling process . . .

     

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