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在控制技术中,传统的故障树分析方法已不能适应时代的要求。以某控制系统传感器组件的故障树为例,对传统的故障树算法进行了优化设计,定性地将故障树信息写入两个矩阵中。通过对矩阵进行遍历,最终得到了代表故障树分析结果的最小割集和最小径集,并定量地计算出结构重要度、概率重要度和关键重要度。分析结果表明该算法能够准确定位故障,对故障诊断系统具有一定的参考价值。
In the control technology, the traditional fault tree analysis methods can not meet the requirements of the times. Taking a fault tree of a control system sensor component as an example, the traditional fault tree algorithm is optimized, and the fault tree information is qualitatively written into two matrices. By traversing the matrix, the minimal cut sets and minimum path sets, which represent the results of fault tree analysis, are finally obtained, and the structural importance, probability importance and key importance are calculated quantitatively. The analysis results show that the algorithm can locate the fault accurately and have certain reference value to the fault diagnosis system.