Fault Early Warning Model for High-Speed Railway Train Based on Feature Contribution and Causal Inference.

导出 OA

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第一作者： Dian,Liu

第一单位： State Key Lab of Rail Traffic Control & Safety, Beijing Jiaotong University, Beijing 100044, China.

作者： Dian,Liu ^[1] ; Yong,Qin ^[2] ; Yiying,Zhao ^[1] ; Weijun,Yang ^[3] ; Haijun,Hu ^[2] ; Ning,Yang ^[2] ; Bing,Liu ^[2]

作者单位： State Key Lab of Rail Traffic Control & Safety, Beijing Jiaotong University, Beijing 100044, China. ^[1] Locomotive & Car Research Institute, China Academy of Railway Sciences Group Co., Ltd., Beijing 100081, China. ^[2] China Railway Engineering Design and Consulting Group Co., Ltd., Beijing 100055, China. ^[3]

关键词 SHAP causal inference data-driven fault warning interpretability

主题词贝叶斯定理(Bayes Theorem);设备失效(Equipment Failure);工业(Industry)

DOI 10.3390/s22239184

PMID 36501884

发布时间 2022-12-20

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准确一般字义偏差语意偏离译文作用小提交