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作 者:齐洋 锁斌 QI Yang;SUO Bin(Southwest University of Science and Technology School of Information Engineering,Mianyang 621000 China;Southwest University of Science and Technology Complex Environment Equipment Reliability Research Center,Mianyang 621000 China)
机构地区:[1]西南科技大学,信息工程学院,四川绵阳621000 [2]西南科技大学复杂环境装备可靠性研究中心,四川绵阳621000
出 处:《电光与控制》2025年第2期79-85,共7页Electronics Optics & Control
基 金:国家自然科学基金(U1830133);西南科技大学科研基金(21zx7125)。
摘 要:针对大多数加速退化试验优化设计没有考虑不同样本量规模引起的认知不确定性影响试验结果的问题,提出了一种威布尔分布下的加速退化试验优化设计新方法。构建了偏差度指标,用于刻画不同样本量引起的认知不确定性,以此为基础建立了以最小相对误差(MRE)为目标的加速退化试验优化设计模型,该模型以总样本量、加速应力水平数、样本分配占比为设计变量,给出了最优化模型的求解算法,并将所提出的方法应用于某激光器的加速退化试验优化设计,结果证明了该方法的有效性。Aiming at the problem that most optimized designs for accelerated degradation tests do not consider the impact of cognitive uncertainty introduced by different sample sizes on test results a new method for optimal design of accelerated degradation tests under Weibull distribution is proposed.A deviation index is constructed to characterize the cognitive uncertainty caused by different sample sizes.Based on this an accelerated degradation test optimization design model with the Minimum Relative Error(MRE)as the goal is established.The model takes the total sample size the number of accelerated stress levels and the proportion of sample distribution as design variables.The solution algorithm of the optimization model is given and the proposed method is applied to the optimized design of accelerated degradation test of a certain type of laser which shows the effectiveness of the method.
分 类 号:TP273[自动化与计算机技术—检测技术与自动化装置]
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