An extended failure mode effect and criticality analysis (FMECA)‐based sample allocation method for testability verification is presented in this study to deal with the poor representativeness of test sample sets and the randomness of the testability evaluation results caused by unreasonable selection of failure samples. First, the fault propagation intensity is introduced as part of the extended information of FMECA, and the sample allocation impact factors of component units and failure modes are determined under this framework. Then, the failure mode similarity and impact factor support are defined, and the game decision method for weighing the relationship between similarity and support is proposed to obtain the weight of failure mode impact factor. Finally, a two‐step allocation framework of test samples is formulated to realize the sample allocation of component units and failure modes. This method is applied to the testability verification test of a launch control system. Results show that this method can obtain more representative test samples compared with the traditional sample allocation method while effectively reducing randomness of single testability evaluation result.

中文翻译：

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用于可测试性验证测试的测试样本分配方法

本研究提出了一种基于扩展故障模式效应和关键度分析（FMECA）的用于可测试性验证的样本分配方法，以应对测试样本集的代表性差以及由于不合理选择故障样本而导致的可测试性评估结果的随机性。首先，引入故障传播强度作为FMECA扩展信息的一部分，并在此框架下确定部件单元和失效模式的样本分配影响因素。然后，定义了故障模式相似度和影响因子支持，提出了一种权衡相似性与支持关系的博弈决策方法，以求取故障模式影响因子的权重。最后，建立了测试样本的两步分配框架，以实现零件单元和失效模式的样本分配。该方法适用于发射控制系统的可测试性验证测试。结果表明，与传统的样本分配方法相比，该方法可以获得更多具有代表性的样本，同时有效降低了单个可测性评估结果的随机性。