模拟电路故障诊断的PSpice与Matlab仿真分析研究

Simulation and Analysis for Analog Circuits Fault Diagnosis Using PSpice and Matlab

根据模拟电路故障诊断中的测前模拟诊断SBT法,本文采用PSpice对待测电路CUT故障进行模拟仿真,通过小波包分析和信息熵方法提取故障电路输出信号的特征向量,利用Matlab设计的神经网络算法构建故障分类器并对电路故障进行识别与诊断。仿真实验结果表明将PSpice与Matlab相结合的诊断方法能够有效地诊断模拟电路故障,为模拟电路故障诊断的教学和科研提供参考。

According to simulation before test （SBT） method of analog fault diagnosis, the faults of circuits under test （CUT） are simulated by PSpice software. The fault features of the circuit output responses are extracted using wavelet packet and information entropy as a preprocessor, then the fault classifier is built by Matlab software and neural networks and then used to diagnose the faults of analog circuit. The simulation results show that the fault diagnosis method combining PSpice and Matlab is available for identifying the faults of the CUT. The experiment can make a reference for teaching and science researches.