多值测试诊断策略优化设计

Optimal Design for Diagnosis Strategy Based on Multi-valued test

摘要:

针对电子系统中多值测试条件下的测试排序问题，提出了一种诊断策略优化方法。首先，以相关性矩阵模型为基础，将已有的二值测试的优化算法同多值测试问题相结合，提出了适用于多值测试的基于霍夫曼编码的启发式函数；其次，将平均测试代价最小和平均测试步骤最少作为优化目标，采用与或树启发式搜索算法生成诊断树，得到多值测试的诊断策略，并给出了诊断策略优化方法的具体实现步骤；最后，将其应用到航空设备的实例中。结果表明提出的基于霍夫曼编码的与或树启发式搜索算法是可行的，其生成的诊断树是最优的，比基于信息熵的与或树启发式搜索算法具有更小的平均测试代价和更少的平均测试步骤。

Abstract:

Aiming at the test sequencing problem with multi-valued tests of electronic system, an optimal method for diagnosis strategy based on multi-valued test is presented. At first, on the basis of the dependency matrix, combined traditional binary test-based algorism with multi-valued test-based problem, a heuristic function suitable for multi-valued test is discussed. Then, with minimum test cost and steps for the optimal goal, AND/OR tree heuristic search algorithm is used for diagnosis generation, the diagnosis strategy based on multi-valued test is improved, and the specific implementation steps of optimal method for fault diagnosis strategy is offered. Finally, apply it to aviation equipment. The result shows that the algorithm is feasible, can generate optimal or inferior diagnosis tree.