【作者】 丁国君； 王立德； 申萍； 刘彪；

【Author】 DING Guojun,WANG Lide,SHEN Ping,LIU Biao (School of Electrical Engineering,Beijing Jiaotong University,Beijing 100044,China)

【机构】 北京交通大学电气工程学院；

【摘要】 针对容差模拟电路软故障,提出一种基于多群体协同混沌粒子群算法优化最小二乘支持向量机的故障诊断模型。首先,对模拟电路采集信号进行小波分析预处理;然后,提取特征信息作为样本输入LSSVM进行分类决策,并运用多群体协同混沌粒子群算法对LSSVM的结构参数进行优化。仿真实验结果表明:该模型具有较高的诊断正确率,可用于模拟电路的软故障诊断。更多还原

【Abstract】 In order to diagnose the tolerance analog circuit soft fault,fault diagnosis model combining multi-swarm cooperative chaos particle swarm optimization(MCCPSO) algorithm with the least square support vector machine (LSSVM) was proposed.The acquisition signal was preprocessed by wavelet analysis.And the feature information as the sample was input LSSVM for classification decision.MCCPSO was used for optimizing structure parameters of LSSVM. The simulation result shows that the proposed model has high diagnosis accuracy,and it can be applied to tolerance analog circuit fault diagnosis.更多还原