Probabilistic method for railway traffic control systems diagnosis

W. Nowakowski, T. Ciszewski, Z. Łukasik
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Abstract

Railway traffic control systems have a key role in ensuring the smooth operation of railway traffic. Therefore, the basic requirement, in addition to the implementation of necessary system functions, is continuous striving for ensuring the high level of reliability. Contemporary development of railway traffic control systems is associated with the application of modern information and communication technologies, which makes it possible to extend the functionality of these systems by the logging events and selfdiagnostics. However, there are no standards in this area, which considerably complicates the unification of scope and types of acquired diagnostic data as well as their analysis. This, of course, has a negative impact on the maintenance of the systems technical reliability. The authors of the paper have noticed this important problem and have proposed a new diagnostic method for railway traffic control systems, which is based on a probabilistic inference. They also verified the developed diagnostic method by testing it on the level crossing protection system. The obtained results have proved the correctness of the adopted railway traffic control systems diagnosing concept.
铁路交通控制系统诊断的概率方法
铁路交通控制系统对保证铁路交通的顺利运行起着关键作用。因此,除了实现必要的系统功能外,基本要求是不断努力确保高水平的可靠性。当代铁路交通控制系统的发展与现代信息通信技术的应用密切相关,这使得通过记录事件和自诊断来扩展系统的功能成为可能。然而,在这一领域没有标准,这使所获得的诊断数据的范围和类型的统一及其分析相当复杂。这当然会对系统的技术可靠性的维护产生负面影响。本文作者注意到这一重要问题,提出了一种基于概率推理的铁路交通控制系统故障诊断方法。他们还通过对平交保护系统的测试验证了所开发的诊断方法。所得结果证明了所采用的铁路交通控制系统诊断概念的正确性。
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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