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

The demands for model accuracy and computing efficiency in fault warning scenarios are increasing as high-speed railway train technology continues to advance. The black box model is difficult to interpret, making it impossible for this technology to be widely adopted in the railway industry, which h...

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Detalles Bibliográficos
Autores principales: Liu, Dian, Qin, Yong, Zhao, Yiying, Yang, Weijun, Hu, Haijun, Yang, Ning, Liu, Bing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9740490/
https://www.ncbi.nlm.nih.gov/pubmed/36501884
http://dx.doi.org/10.3390/s22239184

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9740490/
https://www.ncbi.nlm.nih.gov/pubmed/36501884
http://dx.doi.org/10.3390/s22239184

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