Comprehensive review of estimating system-reliability confidence-limits from component-test data
Comprehensive review of estimating system-reliability confidence-limits from component-test data
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DOI：
10.1109/rams.2002.981620
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发表时间：
2002-01-01
期刊：
影响因子：
--
通讯作者：
Tian, XJ
中科院分区：
文献类型：
--
作者：
Tian, XJ
可靠性分析中一个具有实际重要性的常见问题是确定一个复杂系统的可靠性，其中唯一可用的数据是组成该系统的各个部件或子系统的测试数据的可靠性估计。在文献中，已经有许多论文处理了这个问题。本文在广泛查阅文献的基础上，对系统可靠性置信限估计的方法和模型进行了总结和比较。分析和比较了这些方法的优缺点、局限性和应用问题。结果表明，分析方法是很好的一些特定的应用情况下，蒙特卡罗方法是最强大的技术，非常复杂的系统，不同种类的故障数据。本文的结果可作为选择合适方法的指导。
A common problem of practical importance in reliability analysis is the determination of the reliability of a complex system where the only data available are reliability estimate of testing data on various components or subsystems that make up the system. In the literature, there have been many papers that have dealt with this problem. This paper, based on an extensive review of literature, summarizes and compares methods and models on system reliability confidence limits estimation. The advantages, disadvantages, limitations and application issues of these methods are analyzed and compared. It is shown that analytical methods are good for some specific application cases and Monte Carlo methods are the most powerful technique for very complex systems with different kinds of failure data. The results of this paper can be used as a guideline in choosing an appropriate method.