Condition-Based Maintenance of HVAC on a High-Speed Train for Fault Detection

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dc.contributor.authorCiani, Lorenzo
dc.contributor.authorGuidi, Giulia
dc.contributor.authorPatrizi, Gabriele
dc.contributor.authorGalar, Diego
dc.contributor.institutionTecnalia Research & Innovation
dc.date.issued2021-06-12
dc.descriptionPublisher Copyright: © 2021 by the authors. Licensee MDPI, Basel, Switzerland.
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.statusPeer reviewed
dc.format.extent1
dc.format.extent1018475
dc.identifier.citationCiani , L , Guidi , G , Patrizi , G & Galar , D 2021 , ' Condition-Based Maintenance of HVAC on a High-Speed Train for Fault Detection ' , Electronics , vol. 10 , no. 12 , 1418 , pp. 1418 . https://doi.org/10.3390/electronics10121418
dc.identifier.doi10.3390/electronics10121418
dc.identifier.issn2079-9292
dc.identifier.otherresearchoutputwizard: 11556/1153
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85107633696&partnerID=8YFLogxK
dc.language.isoeng
dc.relation.ispartofElectronics
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subject.keywordsCondition-based maintenance
dc.subject.keywordsFault detection
dc.subject.keywordsFuzzy logic
dc.subject.keywordsReliability
dc.subject.keywordsReliability-centered maintenance
dc.subject.keywordsRailway
dc.subject.keywordsCondition-based maintenance
dc.subject.keywordsFault detection
dc.subject.keywordsFuzzy logic
dc.subject.keywordsReliability
dc.subject.keywordsReliability-centered maintenance
dc.subject.keywordsRailway
dc.subject.keywordsControl and Systems Engineering
dc.subject.keywordsSignal Processing
dc.subject.keywordsHardware and Architecture
dc.subject.keywordsComputer Networks and Communications
dc.subject.keywordsElectrical and Electronic Engineering
dc.subject.keywordsFunding Info
dc.subject.keywordsThis research received no external funding
dc.subject.keywordsThis research received no external funding
dc.titleCondition-Based Maintenance of HVAC on a High-Speed Train for Fault Detectionen
dc.typejournal article
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