An Online Data-Driven Predictive Maintenance Approach for Railway Switches-Reference-Cited by-同舟云学术

An Online Data-Driven Predictive Maintenance Approach for Railway Switches

Published:2023 Issue: Volume: Page:410-422
ISSN:1865-0929
Container-title:Communications in Computer and Information Science
language:
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Author:

Sousa Tomé Emanuel^ORCID,Ribeiro Rita P.^ORCID,Veloso Bruno^ORCID,Gama João^ORCID

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-23633-4_27

Reference19 articles.

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2. Allah Bukhsh, Z., Saeed, A., Stipanovic, I., Doree, A.G.: Predictive maintenance using tree-based classification techniques: a case of railway switches. Transp. Res. Part C: Emerging Technol. 101(January), 35–54 (2019). https://doi.org/10.1016/j.trc.2019.02.001

3. Asada, T., Roberts, C., Koseki, T.: An algorithm for improved performance of railway condition monitoring equipment: Alternating-current point machine case study. Transp. Res. Part C: Emerging Technol. 30, 81–92 (2013). https://doi.org/10.1016/j.trc.2013.01.008

4. Bian, C., Yang, S., Huang, T., Xu, Q., Liu, J., Zio, E.: Degradation detection method for railway point machines. arXiv, pp. 1–25 (2018)

5. Böhm, T.: Remaining useful life prediction for railway switch engines using classification techniques. International Journal of Prognostics and Health Management 8(Special Issue 7) (2017)

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