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The Use of Simulated Annealing with Fuzzy Objective Function to Optimal Frequency Selection for Analog Circuit Diagnosis

机译:模拟退火对模糊目标函数的应用,以最优选择模拟电路诊断

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Presented work focuses on detecting a single hard fault in analog electronic circuit in AC domain. The combined approach to analog circuit fault test frequency selection is proposed. Reduction of a fault dictionary size is the main goal of the method. It is achieved by the use of heuristic algorithm and modified fitness function. Simulated annealing as a search engine and fuzzy system as a fitness function is applied. During the search process the fault detection rate of a CUT must remain at the same level (obligatory condition) while localization should stay unchanged (both with respect to the use of all frequencies). The input sources frequencies should separate all possible (assumed) circuit states. Proposed approach is verified on the example and compare with pure simulated annealing algorithm (weighted function).
机译:提出的工作侧重于检测AC域中模拟电子电路的单个硬故障。提出了模拟电路故障测试频率选择的组合方法。减少故障词典大小是该方法的主要目标。它是通过使用启发式算法和改进的健身功能来实现的。应用作为搜索引擎和模糊系统的模拟退火作为适应性功能。在搜索过程中,切割的故障检测率必须保持在相同的水平(必须的情况),而本地化应保持不变(相对于所有频率的使用)。输入源频率应分开所有可能的(假设的)电路状态。在该示例上验证了所提出的方法,并与纯模拟退火算法(加权函数)进行比较。

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