A proactive opportunistic maintenance decision model based on reliability in train systems

Abstract

This paper presents an innovative framework for optimizing maintenance strategy in complex electromechanical systems (CEMS), by mitigating over-maintenance and suboptimal resource allocation. This study proposes an optimized maintenance strategy based on opportunistic maintenance with reliability as the core. A topological network model is used to establish a model that forecasts system reliability from function and structure, resulting in the identification of critical components in the system. Subsequently, a maintenance model for mechanical, electrical and information components is proposed and a method for determining maintenance reliability thresholds is suggested. The research imposes constraints in component and system reliability, in constructing an opportunistic maintenance strategies model. The objective of this model was to minimize the maintenance cost. A case study on high-speed railway bogie system supports this strategy, effectively guaranteeing system reliability while reducing maintenance costs. Maintenance resources are allocated reasonably across various stages, thereby reducing wastage of resources.