Estimate remaining useful life for predictive railways maintenance based on LSTM autoencoder
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
https://link.springer.com/content/pdf/10.1007/s00521-021-06051-1.pdf
Reference24 articles.
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3. Zahrah SF, Yusof YA, Kumar K, Sorooshian S (2014) Maintenance in the Era of Industry 4.0, Journal of Management and Science, 4(3), 2014
4. Li CH, Lau HK (2017) A critical review of product safety in industry 4.0 applications. In: 2017 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), Singapore, pp 1661–1665
5. Baqqal Y, El hammoumi M (2018) State of the art in maintenance modelling and simulation approaches for maintenance systems. In: 2018 IEEE International Conference on Technology Management, Operations and Decisions (ICTMOD), Marrakech, Morocco, pp 214–218
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