| Citation: | WANG Kang, SHI Xianjun, HAN Xu, et al. Integrated design scheme for fault sample size determination and allocation[J]. Journal of Beijing University of Aeronautics and Astronautics, 2020, 46(1): 103-114. doi: 10.13700/j.bh.1001-5965.2019.0184(in Chinese)
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For the current testability verification field, the relationship between the fault sample size determination and the sample allocation is not taken into consideration, and the existing sample allocation schemes have no uniform framework for the selection of the impact factor, which lead to the problem that the determined sample size and sample allocation are unreasonable, so an integrated design scheme for fault sample size determination and allocation is proposed. Firstly, the prior information of each node's testability indicators was integrated to obtain the fusion distribution of top-level testability indicators, which could be used to establish a fault sample size determination process based on the hierarchical Bayes network model. Secondly, the structural importance was introduced as the sample allocation influence factor. At the same time, the failure modes, effect and criticality analysis (FMECA) information was used to determine the sample allocation influence factor of the nodes and the failure modes. Then the secondary allocation framework based on the nodes and failure modes was proposed to implement the sample allocation. Finally, a comparative analysis was carried out through actual cases. The results show that, compared with other sample allocation schemes, the proposed scheme can fully consider the system structure and its prior information, and realize the integrated design for fault sample size determination and allocation, which ensures the reasonable sample size and allocation with better engineering applicability.
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