共因失效概率预测的离散化模型

A Discrete Model for the Prediction of Common Cause Failure

对系统共因失效分析中涉及的概念,诸如共因失效的“根本原因”（root cause）和“耦合机制”（coupling mechanism）等,从载荷的随机性导致零件失效相关性这一观点给予了解释。同时还提出和讨论了“固有相关性”、“偶然相关性”、“绝对共因失效”和“相对共因失效”等概念。借助多维应力-强度干涉分析和对干涉模型进行的离散化处理,建立了根据零件/系统失效数据预测系统共因失效概率简单、实用的离散化的模型。

An easy-to-use common cause failure (CCF) probability is developed through load-strength interference analysis and mechanism based parameter discretization. Meanwhile, CCF revolved concept, such as ' root cause' and ' coupling mechanism' are interpreted from the viewpoint of random environment load bringing about failure dependency. Opinions about ' inherent dependency' vs. 'accidental dependency', 'absolute CCF'vs. 'relative CCF'are presented and discussed, too.