基于交流置换激励的模拟电路网络撕裂法

A Network Decomposition Approach of Analog Circuit Based on Alternating Replacement Stimulus

针对复杂模拟电路故障诊断难的问题,提出了一种基于交流置换激励、同时结合灵敏度分析与支持向量机(Support Vector Machine,SVM)的模拟电路子网络级故障诊断方法。通过交、直流激励实现了目标子网络的隔离撕裂;根据子网络灵敏度优选测试节点,提取测试点信息,经蒙特卡洛分析与归一化处理后作为故障特征;选用SVM作为故障诊断分类器,实现了故障子网络的识别。最后,通过电路实例对该方法进行了验证,结果表明:与已有方法相比,该方法计算量小、精确度高,适用于容差和非线性电路。

In order to solve the difficulty of fault diagnosis in complex analog circuits,the paper presents a network-level fault diagnosis method combining with sensitivity analysis and Support Vector Machine（ SVM） based on alternating replacement stimulus. The target sub-network is torn and isolated through the use of AC and DC stimulus; the test points are preferred according to the sub-network sensitivity and their information is extracted as the fault feature after Monte Carlo analysis and normalized processing;SVM is chosen as fault diagnosis classifier to realize the identification of the fault sub-network. Finally,the method is verified by the special circuit examples,the results show that： compared with the existing methods,this method has the advantages of small computation and high precision,and it is suitable for tolerance and nonlinear circuit.