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

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