作者:\n\t黄大荣，高铭，赵宁，张宇\n

Authors:\n\tHUANG Darong,GAO Ming,ZHAO Ning,ZHANG Yu\n
摘要:\n\t为优化平衡现代装备的可靠性与测试性，提出一种考虑机内测试（BIT，Built In Test）特性的装备可靠性与测试性协同优化方法。建立了BIT特性模型、装备的可靠性模型和测试性模型；建立了以BIT数量为决策变量、装备可靠性指标最低要求为约束条件、测试性指标为优化目标的装备测试性优化模型和以BIT数量为决策变量、装备可靠性指标最低要求与测试性指标最低要求为约束条件、可靠性指标与测试性指标加权求和结果为优化目标的装备可靠性与测试性协同优化模型；通过求解模型，计算得出最佳的BIT数量、装备的可靠性指标和测试性指标。以雷达为例，给出了装备可靠性与测试性协同优化的仿真实验结果：设置BIT数量为48个时，装备可靠度为0.821，故障诊断率为88.2%，为不同装备确定合理BIT数量以达到可靠性与测试性优化平衡的目的提供了参考。\n

Abstract:\n\tIn order to optimize and balance the reliability and testability of modern equipment, a collaborative optimization method of equipment reliability and testability considering the characteristics of BIT (Built In Test) is proposed The BIT characteristic model, reliability model and testability model of equipment are established Established the number of BITs as decision variables, equipment reliability index minimum requirements as constraint conditions, the testability index as the optimization goal of equipment testability optimization model and the number of BITs as decision variables, equipment reliability index minimum requirements and testability index minimum requirements as constraint conditions, the reliability index and testability index weighted summation of the results as the optimization goal of equipment reliability and testability collaborative optimization model. By solving the model, the optimal number of BITs, reliability index and testability index of equipment are calculated.Taking radar as an example, the simulation results of equipment reliability and testability collaborative optimization are given: when the number of BITs is set to 48, the equipment reliability is 0.821 and the fault diagnosis rate is 88.2%, which provides a reference for determining the reasonable number of bits for different equipment to achieve the balance of reliability and testability optimization.\n


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