一种QPSO优化SVM的模拟电路故障诊断方法

An Analog Circuit Fault Diagnosis Method Based on SVM Optimized with QPSO

为提高基于SVM的模拟电路故障诊断精度,提出了一种基于QPSO优化SVM的故障诊断方法。文中首先对QPSO算法进行了介绍,然后对支持向量机的性能影响因素进行了分析,并给出了基于QPSO优化SVM参数的算法步骤;最后以某滤波电路为例进行了仿真实验,验证了该方法的有效性。

In order to improve the correct rate of analog circuit fault diagnosis,a method based on SVM optimized with Quantum-behaved Particle Swarm Optimization（QPSO）is put forward.Firstly,the QPSO algorithm is introduced in the paper.Then the performance impact factors of SVM are analyzed,and the steps of SVM parameters optimized with QPSO are given.Finally,a filter circuit is taken as an example to simulate.The result shows that this method is effective.