基于反正切函数的测试性分配方法
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(国防科技大学 智能科学学院 装备综合保障技术重点实验室, 湖南 长沙 410073)

作者简介:

杨鹏

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TN806

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国家部委基金资助项目(41403020101)


Testability allocation method based on inverse tangent function
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(Science and Technology on Integrated Logistics Support Laboratory, College of Intelligence Science and Technology, National University of Defense Technology, Changsha 410073, China)

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    摘要:

    针对现有主流测试性分配方法存在的分配指标过低和过高等不合理问题,分析认为其根源在于现有方法采用线性分配函数,而该函数不符合测试性指标提升规律,为此,构造了一种基于反正切函数的测试性分配函数,设计故障检测率与故障隔离率指标的分配算法,开展案例应用并与经典故障率分配法和综合加权分配法进行对比分析,结果表明随着分配权重(故障率)的变大,本方法分配指标的增幅逐渐减小,不会出现极低指标和超1指标的不合理情形。

    Abstract:

    The existing testability allocation methods exist some unreasonable problems, such as the allocation index is too low or too high. The reason is that those methods apply linear allocation function which is not consistent with testability index. Therefore, a novel allocation function based on inverse tangent function was constructed, and the allocation algorithm of fault detection rate and fault isolation rate was presented. The comparative analysis among the proposed method and the classic fault rate allocation and comprehensive weighted allocation methods shows the superiority of the method proposed. With the increase of the allocation weight (fault rate), the amplification of allocation index gradually decreases, and there will be no unreasonable allocation index which is either too low or higher than 1.

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引用本文

杨鹏,胡业荣,吴伟兴,等.基于反正切函数的测试性分配方法[J].国防科技大学学报,2019,41(6):83-87.
YANG Peng, HU Yerong, WU Weixing, et al. Testability allocation method based on inverse tangent function[J]. Journal of National University of Defense Technology,2019,41(6):83-87.

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  • 收稿日期:2018-09-02
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  • 在线发布日期: 2019-12-09
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