Mixture test strategy optimization for analog systems

Abstract

Since analog systems play an essential role in modern equipment, test strategy optimization for analog systems has attracted extensive attention in both academia and industry. Although many methods exist for the implementation of effective test strategies, diagnosis for analog systems suffers from the impacts of various stresses due to sophisticated mechanism and variable operational conditions. Consequently, the generated solutions are impractical due to the systems’ topology and influence of information redundancy. Additionally, independent tests operating sequentially on the generated strategies may increase the time consumption. To overcome the above weaknesses, we propose a novel approach called heuristic programming (HP) to generate a mixture of test strategies. The experimental results prove that HP and Rollout-HP access the strategy with fewer layers and lower cost consumption than state-of-the-art methods. Both HP and Rollout-HP provide more practical strategies than other methods. Additionally, the cost consumption of the strategy based on HP and Rollout-HP is improved compared with those of other methods because of the updating of the test cost and adaptation of mixture OR nodes. Hence, the proposed HP and Rollout-HP methods have high efficiency.

摘要

由于模拟系统在现代电子设备中起着至关重要作用, 模拟系统测试优化已引起学术界和工业界广泛关注。尽管现有方法能实现测试策略的自动生成, 但是由于复杂结构和多变的运行环境的影响, 模拟系统难以有效生成诊断策略。因此, 受到系统拓扑结构和冗余信息的影响, 生成的测试策略在实际应用中缺乏可行性。此外, 现有方法假设相互独立的测试项需要串行执行, 增加了测试时间消耗。为解决上述问题, 本文提出用于生成混合测试策略的启发式规划方法。实验证明, 相较现有方法生成的策略, 启发式规划方法和卷展启发式规划方法生成的策略具有更少层数和更低测试代价。通过对混合“或”节点的自适应优化和测试代价更新, 该方法能提供更可行的优化方案并降低测试产生的代价。因此, 本文提出的方法具有更高的优化效率。