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Condition-Based Maintenance of HVAC on a High-Speed Train for Fault Detection
Department of information Engineering, University of Florence, via di S. Marta 3, Florence, 50139, Italy.
Department of information Engineering, University of Florence, via di S. Marta 3, Florence, 50139, Italy.
Department of information Engineering, University of Florence, via di S. Marta 3, Florence, 50139, Italy.
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics. Industry and Transport Division, Tecnalia Research and Innovation, Miñano, 01510, Spain.ORCID iD: 0000-0002-4107-0991
2021 (English)In: Electronics, E-ISSN 2079-9292, Vol. 10, no 12, article id 1418Article in journal (Refereed) Published
Abstract [en]

Reliability-centered maintenance (RCM) is a well-established method for preventive maintenance planning. This paper focuses on the optimization of a maintenance plan for an HVAC (heating, ventilation and air conditioning) system located on high-speed trains. The first steps of the RCM procedure help in identifying the most critical items of the system in terms of safety and availability by means of a failure modes and effects analysis. Then, RMC proposes the optimal maintenance tasks for each item making up the system. However, the decision-making diagram that leads to the maintenance choice is extremely generic, with a consequent high subjectivity in the task selection. This paper proposes a new fuzzy-based decision-making diagram to minimize the subjectivity of the task choice and preserve the cost-efficiency of the procedure. It uses a case from the railway industry to illustrate the suggested approach, but the procedure could be easily applied to different industrial and technological fields. The results of the proposed fuzzy approach highlight the importance of an accurate diagnostics (with an overall 86% of the task as diagnostic-based maintenance) and condition monitoring strategy (covering 54% of the tasks) to optimize the maintenance plan and to minimize the system availability. The findings show that the framework strongly mitigates the issues related to the classical RCM procedure, notably the high subjectivity of experts. It lays the groundwork for a general fuzzy-based reliability-centered maintenance method. 

Place, publisher, year, edition, pages
MDPI, 2021. Vol. 10, no 12, article id 1418
Keywords [en]
Condition-based maintenance, Fault detection, Fuzzy logic, Railway, Reliability, Reliability-centered maintenance
National Category
Other Civil Engineering
Research subject
Operation and Maintenance
Identifiers
URN: urn:nbn:se:ltu:diva-85921DOI: 10.3390/electronics10121418ISI: 000666222300001Scopus ID: 2-s2.0-85107633696OAI: oai:DiVA.org:ltu-85921DiVA, id: diva2:1571745
Note

Validerad;2021;Nivå 2;2021-06-23 (beamah)

Available from: 2021-06-23 Created: 2021-06-23 Last updated: 2021-07-15Bibliographically approved

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Galar, Diego

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