Predictive Maintenance on Railway Turnout System: A Systematic Literature Review

Zastra Alfarezi Pratama, F. Hidayat
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引用次数: 2

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.
铁路道岔系统预见性维修:系统文献综述
2019年,印度尼西亚的火车乘客达到4.53亿人。这一事实表明,印尼对火车的需求很大。因此,必须考虑铁路运营设备的可用性,以保证服务质量。信号设备对铁路运营的安全性和可持续性起着至关重要的作用。道岔系统是最关键的铁路信号设备,因为道岔系统的故障和故障会造成延误、碰撞和列车车轮脱轨等影响。需要进行维护活动以确保设备的可用性。所需的维护策略是一种能够在故障发生之前确保可用性、降低成本并提高安全性的策略。预测性维护(PdM)是一种维护策略,可以检测故障和故障设备,同时发现设备的剩余使用寿命作为早期预警。然而,需要通过文献综述来了解PdM在铁路设备上实施的概念和策略。因此,基于四个研究问题,对40篇研究文章进行了系统的文献综述。本文从铁路行业预见性维修的角度对道岔系统的研究进行了综述和展望。本研究结果表明,在预测性维护之前必须进行几个步骤。此外,本研究还讨论了可以使用哪些参数,可以预测哪些组件,可以利用哪些基础设施,以及可以使用哪些预测方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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