Seyedan Oskouei Seyed Farboud, Abapour Mehdi, Beiraghi Mojtaba
Department of Electrical Engineering, Urmia Branch, Islamic Azad University, Urmia, Iran.
Department of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran.
Sci Rep. 2024 May 27;14(1):12080. doi: 10.1038/s41598-024-62841-2.
Electrical railways constitute a vital component of transportation infrastructure worldwide, with rolling stock representing a key element of these systems. Given the extensive operational hours of such systems, effective maintenance scheduling and asset management are imperative to ensure reliability and safety while mitigating costs. This paper addresses the challenge of optimizing maintenance practices for railway rolling stock by introducing a novel implementation of reliability-centered maintenance (RCM) grounded in the reliability block diagram (RBD) framework. This methodology meticulously incorporates reliability parameters into maintenance strategies, aiming to enhance the operational efficiency of railway systems. Leveraging the criticality index, the study identifies components crucial for train reliability, facilitating cost-effective maintenance management. The proposed approach is applied and validated on the Tabriz line 1 metro in Iran, a system with over six years of operational history. Analysis reveals the bogie subsystem's criticality due to its interconnected components, with parts exhibiting significant mean time to repair (MTTR). Conversely, the brake system emerges as the most reliable subsystem. Additionally, sensitivity analysis demonstrates an inverse relationship between repair rates and component sensitivity, highlighting the pivotal role of efficient repair processes in bolstering system reliability. This research contributes a comprehensive and validated methodology for RCM in railway rolling stock, emphasizing cost reduction, system reliability, and strategic prioritization of maintenance efforts. As the approached method in this research is not limited to the specific case study and can be applied in any system by generating the RBD and reliability parameters of the system we want to study The findings hold significant implications for the global planning and execution of railway maintenance operations, setting a new standard for reliability-centered maintenance practices in the field.
电气铁路是全球交通基础设施的重要组成部分，机车车辆是这些系统的关键要素。鉴于此类系统的运营时间长，有效的维护计划和资产管理对于确保可靠性和安全性同时降低成本至关重要。本文通过引入一种基于可靠性框图（RBD）框架的可靠性中心维护（RCM）新实施方案，来应对优化铁路机车车辆维护实践的挑战。该方法将可靠性参数精心纳入维护策略，旨在提高铁路系统的运营效率。利用关键性指数，该研究确定了对列车可靠性至关重要的部件，促进了具有成本效益的维护管理。所提出的方法在伊朗大不里士1号线地铁上得到应用和验证，该系统有超过六年的运营历史。分析表明，转向架子系统因其相互连接的部件而具有关键性，其部件的平均修复时间（MTTR）较长。相反，制动系统是最可靠的子系统。此外，敏感性分析表明修复率与部件敏感性之间存在反比关系，突出了高效修复过程在提高系统可靠性方面的关键作用。本研究贡献了一种全面且经过验证的铁路机车车辆RCM方法，强调降低成本、系统可靠性以及维护工作的战略优先级。由于本研究采用的方法不限于特定案例研究，通过生成我们想要研究的系统的RBD 和可靠性参数，可应用于任何系统。这些发现对全球铁路维护运营的规划和执行具有重大意义，为该领域以可靠性为中心的维护实践树立了新的标准。
