Creep slope estimation for assessing adhesion in the wheel/rail contact

IF 2.3 4区工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC

IET Intelligent Transport Systems Pub Date : 2024-09-14 DOI:10.1049/itr2.12561

Peter Hubbard, Tim Harrison, Christopher Ward, Bilal Abduraxman

引用次数: 0

Abstract

The UK rail network is subject to costly disruption due to the operational effects of adhesion variation between the wheel and rail. Causes of this are often environmental introduction of contaminants that require a wide-scale approach to risk mitigation such as defensive driving or rail-head maintenance. It remains an open problem to monitor the real-time status of the network to optimise resources and approaches in response to adhesion problems. This article presents an on-vehicle monitoring method designed to estimate the coefficient of friction by processing data from on-board sensors of typical rail passenger vehicles. This approach uses a multi-body physics analysis of a target vehicle to create estimators for both creep force and creep, allowing a curve fitting approach to estimate the coefficient for friction from the creep curves.

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用于评估车轮/轨道接触面附着力的蠕变斜率估算

由于车轮与铁轨之间的附着力变化所造成的运行影响，英国铁路网受到了代价高昂的破坏。造成这种情况的原因通常是环境引入了污染物，需要采取大范围的风险缓解措施，如防御性驾驶或轨头维护。如何监控网络的实时状态，以优化资源和方法来应对附着问题，仍然是一个有待解决的问题。本文介绍了一种车载监控方法，旨在通过处理来自典型铁路客运车辆车载传感器的数据来估算摩擦系数。该方法使用目标车辆的多体物理分析来创建蠕变力和蠕变的估算器，从而采用曲线拟合方法从蠕变曲线中估算出摩擦系数。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

IET Intelligent Transport Systems 工程技术-运输科技

CiteScore

6.50

自引率

7.40%

发文量

159

审稿时长

3 months

期刊介绍： IET Intelligent Transport Systems is an interdisciplinary journal devoted to research into the practical applications of ITS and infrastructures. The scope of the journal includes the following: Sustainable traffic solutions Deployments with enabling technologies Pervasive monitoring Applications; demonstrations and evaluation Economic and behavioural analyses of ITS services and scenario Data Integration and analytics Information collection and processing; image processing applications in ITS ITS aspects of electric vehicles Autonomous vehicles; connected vehicle systems; In-vehicle ITS, safety and vulnerable road user aspects Mobility as a service systems Traffic management and control Public transport systems technologies Fleet and public transport logistics Emergency and incident management Demand management and electronic payment systems Traffic related air pollution management Policy and institutional issues Interoperability, standards and architectures Funding scenarios Enforcement Human machine interaction Education, training and outreach Current Special Issue Call for papers: Intelligent Transportation Systems in Smart Cities for Sustainable Environment - https://digital-library.theiet.org/files/IET_ITS_CFP_ITSSCSE.pdf Sustainably Intelligent Mobility (SIM) - https://digital-library.theiet.org/files/IET_ITS_CFP_SIM.pdf Traffic Theory and Modelling in the Era of Artificial Intelligence and Big Data (in collaboration with World Congress for Transport Research, WCTR 2019) - https://digital-library.theiet.org/files/IET_ITS_CFP_WCTR.pdf