Predictive Maintenance on Railway Turnout System: A Systematic Literature Review

Abstract

Train passengers in Indonesia reached 453 million in 2019. That fact shows that train use is in high demand in Indonesia. Therefore, railway operational equipment availability must be considered to ensure service quality. Signaling equipment plays a critical role in the safety and sustainability of railway operations. The turnout system is the most critical railway signaling equipment because faults and failures in the turnout system cause impact such as delay, collision, and train wheels out from the track. Maintenance activity is required to ensure equipment availability. The maintenance strategy needed is a strategy that can ensure availability before failure occurs, reduce costs, and also improve safety. Predictive maintenance (PdM) is a maintenance strategy that can detect failure and fault equipment while finding the remaining useful life of equipment as an early warning. However, a literature review is needed to understand the concept and strategy of PdM for implementation on railway equipment. Therefore, a systematic literature review was conducted on 40 research articles based on four research questions. This study reviews and presents research trends involving turnout systems based on the scope of predictive maintenance in the railway industry. The results of this study show that several steps must be carried out before predictive maintenance. In addition, this study discusses what parameters can be used, what components can be predicted, what infrastructure can be utilized, and what predictive methods can be used.