多系统共因故障全覆盖马尔可夫模型的改进

2018 6th International Conference on Control Engineering & Information Technology (CEIT) Pub Date : 2018-10-01 DOI:10.1109/CEIT.2018.8751794

E. Dogruguven, I. Ustoglu

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引用次数: 0

摘要

关键任务安全系统的开发将对人类的生命、财产和环境产生影响，需要付出很大的努力。对cpu之间的数据交换、同步、计算速度、诊断措施等设计标准，以及可靠性和安全性计算中使用的参数的影响，都要进行详尽的评估。本研究的重点是安全功能(PFHG)危险失效的平均频率。与IEC 61508提供的公式相比，提出了一种针对不同架构的全面创新的马尔可夫模型，有助于涵盖不同的安全相关状态，从而比标准和先前的研究更准确地获得定量结果。将该模型应用于CBTC地铁和ERTMS ETCS系统的关键计算机中，并与现有模型进行了比较。

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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Enhancement of Full Coverage Markov Model for Diverse Systems with Common Cause Failures

Development of mission critical safety systems requires much effort as the resulted system will have impacts on the human life, property and environment. The design criteria such as data interchange between CPUs, synchronization, computation speed and diagnostic measures shall exhaustively be evaluated along with the effects of the parameters used in the reliability and safety calculations ex tunc. This study focuses on the average frequency of a dangerous failure of the safety function (PFHG). In comparison to formulas provided in IEC 61508, a comprehensive and innovative Markov model is proposed for diverse architecture, which helps to cover different safety relevant states to get quantitative results more correctly than provided in the standards and previous studies. The proposed model is applied to the vital computer to be used in the railway domain for CBTC metro and ERTMS ETCS systems and compared with the current models.

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2018 6th International Conference on Control Engineering & Information Technology (CEIT)

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