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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 tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik. Industry and Transport Division, Tecnalia Research and Innovation, Miñano, 01510, Spain.ORCID-id: 0000-0002-4107-0991
2021 (Engelska)Ingår i: Electronics, E-ISSN 2079-9292, Vol. 10, nr 12, artikel-id 1418Artikel i tidskrift (Refereegranskat) 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. 

Ort, förlag, år, upplaga, sidor
MDPI, 2021. Vol. 10, nr 12, artikel-id 1418
Nyckelord [en]
Condition-based maintenance, Fault detection, Fuzzy logic, Railway, Reliability, Reliability-centered maintenance
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Annan samhällsbyggnadsteknik
Forskningsämne
Drift och underhållsteknik
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URN: urn:nbn:se:ltu:diva-85921DOI: 10.3390/electronics10121418ISI: 000666222300001Scopus ID: 2-s2.0-85107633696OAI: oai:DiVA.org:ltu-85921DiVA, id: diva2:1571745
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Validerad;2021;Nivå 2;2021-06-23 (beamah)

Tillgänglig från: 2021-06-23 Skapad: 2021-06-23 Senast uppdaterad: 2021-07-15Bibliografiskt granskad

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