Cargando…
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...
| Autores principales: | , , , , , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
|
| Materias: | |
| 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 |