装备故障测试方案优化的概率截止算法
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TJ02;E920;TH165+.3

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国家自然科学基金资助项目(71401171);军队院校2110工程Ⅲ期建设基金资助项目(4142D4A3);总装预研基金资助项目(9140A19030214JB11273)


Probability Interrupt Algorithm on Optimization of Weapon System′s Failure Test Design
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    摘要:

    在装备研制的早期阶段,需要及时将装备的测试性指标和故障测试方案联系起来,并对测试方案进行优化。针对这些要求,首先,对常规故障模式、影响及危害性分析(failure mode effects criticality analysis,简称FMECA)的不足之处,提出了对于FMECA故障模式的输入信息进行改进的设想和实施方法;然后,根据研究需求探讨并确定了故障的检测特性影响指标,分别给出了各特性指标的影响等级、影响值的确定方法;最后,建立了装备故障的检测特性指标综合评估模型,提出了测试方案的优化截止算法,采用典型示例对其进行了计算验证,并对其应用进行了深入探讨。结果表明,该方法能够有效弥补现有设计方式的不足,为在研制早期制订装备测试优化方案提供了理论依据。

    Abstract:

    In the early stages of weapon system development, it was necessary for testability requirements to have a failure test design alternative, and for the test design solution to be optimized. In light of these aims, current failure mode, effects and criticality analysis (FMECA) shortages were analyzed, and its improving approach was given. Modeling was used to find characteristic indicators of failure tests, as well as their effect levels and effect values. On this basis, a comprehensive evaluation modeling on failure test characteristics was completed, and an optimization algorithm for test design was proposed. A typical demonstration was proven using example data, and the algorithm of this model was then explored. The results and applications showed that the optimization method can markedly improve current test design and afford a theoretical foundation to optimize test design during the early stages of weapon system development.

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  • 在线发布日期: 2016-05-05
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