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首页> 外文期刊>IEEE transactions on industrial informatics >Pareto-Based Maintenance Decisions for Regional Railways With Uncertain Weld Conditions Using the Hilbert Spectrum of Axle Box Acceleration
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Pareto-Based Maintenance Decisions for Regional Railways With Uncertain Weld Conditions Using the Hilbert Spectrum of Axle Box Acceleration

机译：基于轴箱加速度希尔伯特谱的不确定焊接条件下区域铁路的帕累托维修决策

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摘要

This paper presents a Pareto-based maintenance decision system for rail welds in a regional railway network. Weld health condition data are collected using a train in operation. A Hilbert spectrum-based approach is used for data processing to detect and assess the weld quality based on multiple registered dynamic responses in the axle box acceleration measurements. The assessment of the welds is stochastic in nature and variant over time, so a set of robust and predictive key performance indicators is defined to capture the weld degradation dynamics during a given maintenance period. Using a scenario-based approach, two objective functions are defined, performance and the number of weld replacements. Evolutionary multiobjective optimization is employed to optimize the objective functions so that the tradeoffs between performance and cost support decision-making for railway network maintenance. The results of the proposed methodology show that the infrastructure manager can localize field inspections and maintenance efforts on the area with the most critical welds. To showcase the capability of the proposed methodology, measurements from a regional railway network in Transylvania and Romania are employed.
机译：本文提出了一种基于Pareto的区域铁路网络中铁路焊接维修决策系统。使用运行中的火车来收集焊缝健康状况数据。基于Hilbert频谱的方法用于数据处理，以基于轴箱加速度测量中的多个注册动态响应来检测和评估焊接质量。焊缝的评估本质上是随机的，并且随时间变化，因此，定义了一组健壮且可预测的关键性能指标，以捕获给定维护期内焊缝退化的动态。使用基于方案的方法，定义了两个目标函数，即性能和焊缝更换数量。采用进化多目标优化来优化目标函数，以便在性能和成本支持决策之间进行权衡，以进行铁路网络维护。拟议方法的结果表明，基础设施管理者可以对焊接最关键的区域进行现场检查和维护工作。为了展示所提出方法的能力，采用了特兰西瓦尼亚和罗马尼亚的区域铁路网进行的测量。

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