This short paper describes a numerical method for optimising the conservative confidence bound on the reliability of a system based on tests of its individual components. This is an alternative to the algorithmic approaches identified in Bishop and Povyakalo (RESS 2020). For a given maximum number of component tests, the numerical method can derive an optimal test plan for any arbitrary system structure. The optimisation method is based on linear programming which is more efficient that the alternative integer programming. In addition, the optimisation process need only be performed once for any given system structure as the solution can be re-used to compute an optimal integer test plan for a different maximum number of component tests. This approach might have broader application to other optimisation problems that are normally implemented using integer programming methods.
翻译:这份简短的论文介绍了优化基于对单个组成部分进行测试的系统可靠性所约束的保守信心的数值方法。这是Bishop和Povyakalo(RESS 2020)中所确定的算法方法的替代方法。对于某一最大数量的组成部分测试,数字方法可以为任何任意的系统结构得出最佳测试计划。优化方法基于线性编程,其效率更高,而替代的整数编程。此外,对任何特定系统结构而言,优化程序只需要一次,因为可以重新使用这一方法来计算不同最大数量的组成部分测试的最佳整数测试计划。这一方法可能更广泛地适用于通常使用整数编程方法实施的其他优化问题。