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Opportunistic inspection planning for Railway eMaintenance

机译:铁路维修的机会性检查计划

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Abstract: Railway infrastructure is a complex system that comprises of several subsystems which interacts in hierarchical, multi-distributive and multi-user environment. It is a difficult task to perform inspections for all the assets at an instant because the train management system decides when to conduct different types of inspection techniques on several assets in a particular track section. There are two main wastes of resources for inspection planning occurred in maintenance; under usage due to inaccurate prediction of failure and over usage because the necessary information already has been acquired from other sources. These irregularities lead to wastage of resources, for instance, human, machine and time that has tremendous implications on cost, availability and manpower. This paper proposes a methodology by using intelligent functional test outcome to assess the performability of an asset and integrating the data to the eMaintenance cloud platform of Swedish railway infrastructure. By implementing this methodology, we can achieve better planning of resources for optimal performance of assets. A case study is performed on Switches and Crossings of Swedish railway infrastructure for the applicability of the proposed methodology.
机译:摘要:铁路基础设施是一个复杂的系统,由多个子系统组成,这些子系统在分层,多分布和多用户环境中进行交互。立即对所有资产进行检查是一项艰巨的任务,因为列车管理系统会决定何时对特定轨道部分中的几种资产进行不同类型的检查技术。维护中发生了用于检查计划的两个主要资源浪费;由于对故障的预测不准确而导致使用量不足以及过度使用,因为已经从其他来源获取了必要的信息。这些违规行为导致浪费资源,例如人力,机器和时间,这对成本,可用性和人力有巨大影响。本文提出了一种通过使用智能功能测试结果来评估资产的性能并将数据集成到瑞典铁路基础设施的eMaintenance云平台的方法。通过实施此方法,我们可以实现更好的资源规划,以实现资产的最佳性能。为了研究所提出的方法的适用性,在瑞典铁路基础设施的转换和交叉处进行了案例研究。

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