基于硬件的可靠性树(HRT),用于故障树分析

Amir Rajabzadeh, M. S. Jahangiry
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引用次数: 1

摘要

采用故障树对关键系统进行可靠性分析。然后将故障树转换为等价的二叉决策图、切集、马尔可夫链或贝叶斯网络。然而,如果目标是连续时间可靠性曲线,这些方法是复杂和耗时的,特别是对于大型系统。介绍了基于硬件的可靠性树(HRT)。为了减少复杂系统的可靠性计算时间,HRT可以通过硬件实现。该方法从给定的故障树中生成等效的可靠性树,并使用运放、加法器、增益和乘法器电路构造等效的硬件。在得到连续可靠度随时间变化的曲线后,利用积分器计算系统的失效时间。为了对模型进行评价,对两个系统进行了评价。第一个是一个安全报警系统,第二个由两个处理器组成,它们共用一个备用处理器。如果每个处理器都出现故障,则激活备用处理器。使用硬件实现的HRT对这些基准测试进行评估,结果显示速度提高了3.4E+6。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Hardware-based Reliability Tree (HRT) for fault tree analysis
Reliability analysis of critical systems is performed using fault trees. Fault trees are then converted to their equivalent Binary Decision Diagram, Cut Set, Markov Chain or Bayesian Network. These approaches however are complex and time consuming if a continuous time reliability curve is aimed, particularly for large systems. This paper introduces Hardware-based Reliability Tree (HRT). The HRT can be implemented by hardware in order to decrease reliability calculation time of a complex system. In this method, from a given fault tree, an equivalent Reliability Tree is generated and an equivalent hardware using op-amp, adder, gain, and multiplier circuits, is constructed. After obtaining continuous reliability curve over time, an integrator is utilized for calculating time to failure of the system. In order to evaluate the model, two systems were evaluated. The first one is a security alarm system and the second consists of two processors which share a single spare. In the case of failure of each processor, the spare is activated. Evaluation of these benchmarks using hardware implemented HRT demonstrates an speed up of up to 3.4E+6.
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