Exploring the potentials of online machine learning for predictive maintenance: a case study in the railway industry-Reference-Cited by-同舟云学术

Exploring the potentials of online machine learning for predictive maintenance: a case study in the railway industry

Published:2023-11-03 Issue:24 Volume:53 Page:29758-29780
ISSN:0924-669X
Container-title:Applied Intelligence
language:en
Short-container-title:Appl Intell

Author:

Le-Nguyen Minh-Huong^ORCID,Turgis Fabien,Fayemi Pierre-Emmanuel,Bifet Albert

Funder

Association Nationale de la Recherche et de la Technologie de la France

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence

Link

https://link.springer.com/content/pdf/10.1007/s10489-023-05092-4.pdf

Reference39 articles.

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5. Canizo M, Onieva E, Conde A et al (2017) Real-time predictive maintenance for wind turbines using big data frameworks. In: 2017 IEEE international conference on prognostics and health management (ICPHM). pp 70–77. https://doi.org/10.1109/ICPHM.2017.7998308

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