Data-driven fault early warning model of automobile engines based on soft classification

HIGHLIGHTS

  • who: Xiufeng Li and colleagues from the School of Automotive Studies, Tongji University, Shanghai, China have published the research: Data-Driven Fault Early Warning Model of Automobile Engines Based on Soft Classification, in the Journal: Electronics 2023, 12, x FOR PEER REVIEW of /2023/
  • what: The major contribution of this research is as follows: Fault domain theory and multiple fault diagnosis model based on the theory are proposed; A fault warning model based on a dual probability structure and warning thresholds is developed, and a method to improve the warning advance time based on adjusting . . .

     

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