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dc.contributor.authorCiani, Lorenzo
dc.contributor.authorGuidi, Giulia
dc.contributor.authorPatrizi, Gabriele
dc.contributor.authorGalar, Diego
dc.date.accessioned2021-06-21T08:35:01Z
dc.date.available2021-06-21T08:35:01Z
dc.date.issued2021-06-12
dc.identifier.citationCiani, Lorenzo, Giulia Guidi, Gabriele Patrizi, and Diego Galar. “Condition-Based Maintenance of HVAC on a High-Speed Train for Fault Detection.” Electronics 10, no. 12 (June 12, 2021): 1418. doi:10.3390/electronics10121418.en
dc.identifier.urihttp://hdl.handle.net/11556/1153
dc.description.abstractReliability-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.en
dc.description.sponsorshipThis research received no external fundingen
dc.language.isoengen
dc.publisherMultidisciplinary Digital Publishing Institute (MDPI)en
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.titleCondition-Based Maintenance of HVAC on a High-Speed Train for Fault Detectionen
dc.typearticleen
dc.identifier.doi10.3390/electronics10121418en
dc.rights.accessRightsopenAccessen
dc.subject.keywordsCondition-based maintenanceen
dc.subject.keywordsFault detectionen
dc.subject.keywordsFuzzy logicen
dc.subject.keywordsReliabilityen
dc.subject.keywordsReliability-centered maintenanceen
dc.subject.keywordsRailwayen
dc.identifier.essn2079-9292en
dc.issue.number12en
dc.journal.titleElectronicsen
dc.page.initial1418en
dc.volume.number10en


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    Attribution 4.0 InternationalExcept where otherwise noted, this item's license is described as Attribution 4.0 International