基于改进局域均值分解算法的模拟电路故障特征提取方法  

Fault feature extraction method for analog circuits based on Improved LMD algorithm

作　　者：邓森[1] 景博[1] 黄以锋[1] 陈鹏宇 焦晓璇 

机构地区：[1]空军工程大学航空航天工程学院,陕西西安710038 [2]空军驻雅安地区军事代表室,四川雅安625000

出　　处：《计算机集成制造系统》2013年第10期2550-2556,共7页Computer Integrated Manufacturing Systems

基　　金：国家航空科学基金资助项目(20101996012)~~

摘　　要：为解决模拟电路测试点数量少、故障特征难以获取的问题,提出一种改进的局域均值分解算法以提取模拟电路的故障特征。针对常规局域均值分解算法所采用的滑动平均方法在平滑均值与包络函数时存在速度慢、误差大的缺点,采用分段幂函数插值法对信号的上下极值点进行插值以获得上下包络线,根据上下包络线求解局域均值函数和包络函数,并采用最小二乘支持向量机对信号进行延拓以减小端点效应。采用改进局域均值分解算法对电路测试点输出信号进行分解,并计算各乘积函数的能量作为故障特征。仿真实验表明,该方法能够快速、准确地提取待测电路的故障特征向量。To solve the problem of few test points and hard to get fault features, an improved Local Mean Decomposi-tion （LMD） algorithm was proposed to extract fault features of analog circuits. Aiming at the disadvantages of low speed and large errors in smoothing process by using moving averaging method in traditional LMD, a method ofpiecewise power function interpolation was used to process the extreme points and to obtain the upper envelope and the lower envelop. According to the upper envelope and the lower envelop, the local mean and envelop function were solved. Least Square Support Vector Machine （LS-SVM） was used as an extending method to decrease the end effect. The outputs of test points in circuit were decomposed by using improved LMD and the fault feature vectors were obtained by computing the energy of Product Functions （PF）. The results of simulation and experiment showed that the method could extract the fault feature vectors of the circuit quickly and accurately.

关 键 词：局部均值分解 分段幂函数插值 端点效应 最小二乘支持向量机 模拟电路 故障特征提取 

分 类 号：TP306[自动化与计算机技术—计算机系统结构]