Development of Smart Component Based Framework for Dynamic Reliability Analysis of Nuclear Safety Systems
Development of Smart Component Based Framework for Dynamic Reliability Analysis of Nuclear Safety Systems
复制标题
基于智能组件的核安全系统动态可靠性分析框架的开发
DOI：
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发表时间：
2017
期刊：
影响因子：
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通讯作者：
A. Arul
中科院分区：
文献类型：
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作者：
D. K. Shukla;A. Arul
动态可靠性方法在估计可靠性时考虑了安全系统的时变特性。由于过程条件和硬件状态以及控制元件的动作的相互依赖性，可能出现时间依赖性。虽然静态可靠性模型经常捕捉平均行为，并试图作出保守的估计，它是不够的，从许多方面来看。首先，这要求分析师需要确定模型是保守的。其次，这种建模需要更多的专业知识和经验，在适当的领域的问题，而不是在可靠性的方法。第三，近似方法可能不足以建立由于系统设计中的细微变化而导致的可靠性增强或降低。尽管在可靠性社区建立动态可靠性分析方法的显着努力，有没有通用的工具，可用于故障树事件树建模。在这方面，智能组件为基础的方法被确定为一个合适的候选人，通用的动态可靠性评估和开发实施。基于智能构件的动态方法利用了面向对象体系结构和蒙特卡罗模拟的元素，适合于开发成通用工具。本文证明了该方法的能力，以评估系统的可靠性具有各种类型的时间依赖性，硬件故障和过程的演变和复杂性之间的相互作用，通过一些案例研究。该方法被发现是有前途的动态和静态场景的准确建模。
Dynamic reliability methodologies account for the safety system’s time dependent characteristics while estimating the reliability. Time dependence can arise due to interdependence of process conditions and hardware states and action of control element. Though static reliability models often capture the average behavior and try to make conservative estimates, it is inadequate from a number of perspectives. First, this requires that the analyst needs to establish that the model is conservative. Second, such modeling requires more expertise and experience in the appropriate domain of the problem, rather than in the reliability methods. Third, approximate methods may be inadequate to establish reliability enhancements or degradations due to subtle alterations in the system design. In spite of the significant effort in the reliability community to establish dynamic reliability analysis methods, there are no general purpose tools similar to that available for fault tree event tree modeling. In this regard Smart Component based method is identified as a suitable candidate for general purpose dynamic reliability assessment and developed for implementation. Smart Component based dynamic method uses elements of object oriented architecture and Monte Carlo simulation and, is suitable for being developed into a general purpose tool. The paper demonstrates the capability of the method to evaluate reliability of systems having various types of time dependence, interaction between hardware failure and process evolution and complexity by means of few case studies. The method is found to be promising for accurate modeling of dynamic as well as static scenarios.