A Survey on Data-Driven Predictive Maintenance for the Railway Industry

In the last few years, many works have addressed Predictive Maintenance (PdM) by the use of Machine Learning (ML) and Deep Learning (DL) solutions, especially the latter. The monitoring and logging of industrial equipment events, like temporal behavior and fault events—anomaly detection in time-seri...

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Detalles Bibliográficos
Autores principales: Davari, Narjes, Veloso, Bruno, Costa, Gustavo de Assis, Pereira, Pedro Mota, Ribeiro, Rita P., Gama, João
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8434101/
https://www.ncbi.nlm.nih.gov/pubmed/34502630
http://dx.doi.org/10.3390/s21175739

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8434101/
https://www.ncbi.nlm.nih.gov/pubmed/34502630
http://dx.doi.org/10.3390/s21175739

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