Kuźnar Małgorzata, Lorenc Augustyn, Kaczor Grzegorz
Department of Rail Vehicles and Transport, Faculty of Mechanical Engineering, Cracow University of Technology, 31-155 Kracow, Poland.
Materials (Basel). 2021 Oct 1;14(19):5743. doi: 10.3390/ma14195743.
Damage to the pantograph or sliding strip may cause the blocking of the railway line. This is the main reason for which the prediction of pantographs' failure is important for railway carriers and researchers. This article presents a sliding strips failure prediction method as a main means of preventing disruptions to the transport chain. To develop the best predictive model based on the decision tree, the complex tree, medium tree and simple tree machine learning methods were tested. Using a decision tree, the categorization of the given technical conditions can be properly realized. The obtained results showed that the presented model can reduce sliding strip failure by up to 50%. Special attention was paid to the current collector (AKP-4E, 5ZL type), measured during periodic reviews of locomotives EU07 and EU09. To assess the reliability of the selected pantograph strips, a non-destructive degradation analysis was carried out. On the basis of the wear measurements of the strips and the critical value of wear, a failure distribution model was developed. Operational data, collected during periodic technical reviews, were provided by one of the biggest railway carriers in Poland. The results of the performed analyses may be used to build a preventive maintenance strategy to protect pantographs. The applied reliability models of wear propagation can be extended by the parameters of the cost and repair time becoming the basis for estimating the costs of operation and maintenance.
受电弓或滑板损坏可能导致铁路线路堵塞。这就是为什么对铁路运营商和研究人员来说，预测受电弓故障很重要的主要原因。本文提出了一种滑板故障预测方法，作为防止运输链中断的主要手段。为了基于决策树开发最佳预测模型，对复杂树、中等树和简单树机器学习方法进行了测试。使用决策树，可以正确实现给定技术条件的分类。所得结果表明，所提出的模型可将滑板故障减少多达50%。特别关注了在对EU07和EU09型机车进行定期检查期间测量的集电器（AKP - 4E、5ZL型）。为评估所选受电弓滑板的可靠性，进行了无损降解分析。基于滑板的磨损测量和磨损临界值，建立了故障分布模型。定期技术检查期间收集的运行数据由波兰最大的铁路运营商之一提供。所进行分析的结果可用于构建预防性维护策略以保护受电弓。所应用的磨损传播可靠性模型可以通过成本和维修时间参数进行扩展，成为估算运营和维护成本的基础。
