铁路自动化故障分析数字同伴的概念设计

Alexander Wurl, Andreas A. Falkner, Alois Haselböck, Alexandra Mazak
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引用次数: 2

摘要

在铁路自动化中,故障分析是维修阶段的一项重要任务。领域专家在分析高度复杂数据结构的大数据量时经常面临各种挑战。寻找潜在故障的原因并决定如何优化或修复系统可能会耗费大量时间。我们提出了一个数字伙伴的概念,它可以帮助专家进行分析,并为已安装的系统提供优化建议。数字伙伴中的一系列不同数据分析方法使领域专家能够管理和控制故障分析过程。通过举例说明,我们给出了数字伴侣工作流程的见解,并讨论了其在铁路自动化领域的应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Conceptual Design of a Digital Companion for Failure Analysis in Rail Automation
In rail automation, failure analysis is a crucial task in the maintenance phase. Domain experts are often faced with various challenges in analyzing large data volumes of highly complex data structures. Finding causes for potential failures and deciding how to optimize or repair the system may be extensively time consuming. We propose the concept of a digital companion which assists experts during analysis and recommends optimizations for the installed system. A sequence of different data analytics methods within the digital companion enables the domain experts to manage and control the process of failure analysis. In illustrative examples, we give insights in the workflow of the digital companion and discuss its application in the domain of rail automation.
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