摘要
传统的诊断策略搜索算法,存在计算复杂度高或者精度低,最优测试集单调等缺点,针对这些问题,通过结合多目标优化理论和准深度搜索算法的优点,提出了一种新的多维目标泛深度搜索算法。该方法能够根据目标要求调整最优测试集和测试序列,从而有效提高测试性指标,并降低计算复杂度。给出了算法实现的主要步骤,并通过对多个案例结果的分析证明了方法的有效性。该搜索算法对于诊断策略的研究及工程实践具有借鉴意义。
Against the disadvantage of the traditional diagnostic strategy searching algorithm such as low precision or high complexity and the exclusive best test sets, based on the advantage of multi-objective optional theory and quasi-depth search algorithm, a new multidimensional objective extensive-depth search algorithm is proposed. The new algorithm can ad- just the best test sets and test sequence according to the need, and can improve the testability index as well as reduce the calculating complexity. The main process is given, the effectiveness of the method is verified by several case, which is valuable for research on test strategy and engineering practice.
出处
《舰船电子工程》
2011年第1期128-130,174,共4页
Ship Electronic Engineering
基金
总装备部重点项目(编号:2007SC02)资助
关键词
诊断策略
多维目标函数
诊断树
测试性指标
diagnosis strategy, multidimensional objective function, diagnosis tree, testability index
