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Trends in Predictive and Proactive Maintenance of Motor Vehicles

机译:机动车辆预测和主动维护的趋势

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摘要

Changes in maintenance approaches of more complex vehicles and related systems are closely associated with the development of motor vehicles and the ever increasing demand for mobility. Ever since the production of the first motorized vehicles started, engineers have been addressing maintenance issues, which aim to maximize the reliability of vehicles and eliminate unwanted failures. The purpose of this article is to show how proactive maintenance can be performed. Proactive maintenance is based on on-line diagnostic systems in motor vehicles. In this paper, the authors describe the possibilities of obtaining operational data on automatic transmission from on-board diagnostics and its subsequent processing. Furthermore, the article presents a model proposed for determining the amount of wear of individual machine parts in an automatic transmission. Finally, a comparison of the data from the proposed model and the data from the CAN bus is made. The authors show the possibility of access in the field of sustainability towards proactive maintenance and the effort to predict future wear of machine parts in an automatic transmission using modelling. In this case, Matlab & Simulink software was used, which is suitable for these processes. This approach to the sustainability of motor vehicles is in principle identical or very similar to the systems used under various designations in industry, aviation, computer science, etc.
机译:更复杂的汽车维修方法的变化和相关系统与机动车的发展和对移动性日益增长的需求密切相关。自从生产第一机动车辆的启动,工程师们一直在解决维护问题,其目的是最大限度地提高车辆的可靠性和消除不必要的故障。这篇文章的目的是展示如何维护积极的可以执行。主动维护基于在机动车辆上线诊断系统。在本文中,作者描述了从车载诊断和其后续的处理获得关于自动变速器的操作数据的可能性。此外,该文章提出了建议用于确定在自动变速器中各个机器部件的磨损的量的模型。最后,从该模型中的数据和从CAN总线的数据进行比较时。作者的研究表明在可持续发展领域对主动维护和使用模型来预测的机械零件的磨损未来在自动变速器的工作访问的可能性。在这种情况下,Matlab和Simulink的软件使用,其适用于这些过程。这种方法对机动车辆的可持续性原则上是相同或非常相似的下工业,航空,计算机科学等各种名称使用的系统

著录项

  • 作者

    Jan Furch; Zdeněk Krobot;

  • 作者单位
  • 年度 2020
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  • 原文格式 PDF
  • 正文语种 eng
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