Fault early warning model for high-speed railway train based on feature contribution and causal inference

HIGHLIGHTS

• who: Dian Liu et al. from the State Key Lab of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing, China have published the paper: Fault Early Warning Model for High-Speed Railway Train Based on Feature Contribution and Causal Inference, in the Journal: Sensors 2022, 22, 9184. of /2022/
• what: This paper proposes a fault early warning machine learning model based on feature contribution and causal First the contributions of the features are calculated through the Shapley additive explanations model. The aim of the work and its conclusions are as follows. The authors propose . . .
  

   

  

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