ABSTRACT

The large tonnage mines use railway transportation as a system for mineral transportation. The rolling stock health condition study and improvement not only reduce the lifecycle cost of the assets but also ensures safe, reliable, punctual, and efficient transportation. The remaining useful life estimation is an efficient approach to condition-based maintenance, prognostics, and health management. This paper aims to predict the remaining life of a mining rolling stocks in the presence of operational environmental effects. In this study, the operation and failure data were obtained from Malmbana, LKAB, Sweden, a Swedish Railway Company, considering the effective operational factors. The failure behaviour of the railcar was evaluated and then the proportional hazard model was used to estimate the conditional reliability functions and accordingly the remaining useful life at the various initial survival time. Finally, the reliability-based time interval is applied to plan the maintenance operations. Results of this study show that the operator’s skill level and the maintenance quality had a significant influence on the reliability performance. By considering the proposed PM plan according to the desired reliability level, the remaining lifetime of the rolling stock will be improved by 78.10%, on average.

摘要

大吨位矿山采用铁路运输作为矿物运输系统。机车车辆健康状况研究和改善不仅降低了资产的全生命周期成本，而且保证了安全、可靠、准时、高效的运输。剩余使用寿命估计是基于状态的维护、预测和健康管理的有效方法。本文旨在预测存在运营环境影响的采矿机车车辆的剩余寿命。在本研究中，考虑到有效运行因素，从Malmbana, LKAB, Sweden 一家瑞典铁路公司获得运行和故障数据。对轨道车的故障行为进行评估，然后使用比例风险模型来估计条件可靠性函数，并相应地估计各种初始生存时间的剩余使用寿命。最后，应用基于可靠性的时间间隔来计划维护操作。本研究结果表明，操作人员的技能水平和维修质量对可靠性性能有显着影响。通过根据所需的可靠性水平考虑提议的 PM 计划，机车车辆的剩余寿命将平均提高 78.10%。本研究结果表明，操作人员的技能水平和维修质量对可靠性性能有显着影响。通过根据所需的可靠性水平考虑提议的 PM 计划，机车车辆的剩余寿命将平均提高 78.10%。本研究结果表明，操作人员的技能水平和维修质量对可靠性性能有显着影响。通过根据所需的可靠性水平考虑提议的 PM 计划，机车车辆的剩余寿命将平均提高 78.10%。