Simulating dynamic RUL based CBM scheduling. A case study in the railway sector-Reference-Cited by-同舟云学术

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Simulating dynamic RUL based CBM scheduling. A case study in the railway sector

Published:2023-06 Issue: Volume:148 Page:103914
ISSN:0166-3615
Container-title:Computers in Industry
language:en
Short-container-title:Computers in Industry

Author:

Crespo Márquez Adolfo,Marcos Alberca José Antonio,Crespo del Castillo Adolfo

Funder

Junta de Andalucía

Publisher

Elsevier BV

Subject

General Engineering,General Computer Science

Reference32 articles.

1. State of the art in simulation-based optimisation for maintenance systems;Alrabghi;Comput. Ind. Eng.,2015

2. Transformer fleet optimal maintenance with risk considerations;Alves da Silva;Electr. Power Compon. Syst.,2019

3. Prognostics and health management for maintenance practitioners - review, implementation and tools evaluation;Atamuradov;Int. J. Progn. Health Manag.,2017

4. Impact of the decision horizon on railway systems maintenance and service scheduling;Bougacha;30th Eur. Saf. Reliab. Conf., ESREL 2020 15th Probabilistic Saf. Assess. Manag. Conf., PSAM,2020

5. Designing CBM plans, based on predictive analytics and big data tools, for train wheel bearings;Crespo Márquez;Comput. Ind.,2020

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Multi-Agent Learning of Asset Maintenance Plans through Localised Subnetworks;Engineering Applications of Artificial Intelligence;2024-01

2. Dynamic fleet maintenance management model applied to rolling stock;Reliability Engineering & System Safety;2023-12

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