基于Fisher准则函数的相关向量机模拟电路故障诊断*

针对模拟电路故障与特征间存在的模糊组及交叠、分类效果不理想的情况,提出基于Fisher准则函数的最佳聚类数自适应估计方法和基于稀疏贝叶斯相关向量机(RVM)理论的模拟电路故障诊断模型,采用模糊核聚类选择最优可诊断故障集,然后在贝叶斯框架下对故障进行分类.该模型可以对分类函数的权重进行推断,辅助进行诊断决策,提高了RVM...

RVM analog circuit fault diagnosis based on Fisher criterion function

Abstract: In order to reducing fuzzy group and overlap of analogous circuit between fault and feature, this article ,first, establishes auto-adapted estimating approach of best cluster number based on Fisher criterion function, fuzzy nuclear cluster is used to select best diagnosable fault component set, and then proposes an analog circuit fault diagnosis model based on relevant vector machine (RVM) from the sparse Bayesian theory, RVM can infer the discriminant function under the Bayesian framework. Moreover, it can obtaining posterior probability of each classification, thus can judge the degree of confidence of classification result, assist diagnosis decision-making. The result indicate that RVM need less RVs than SVs with comparative default accuracy, sparser and generalizing, it is an effective method for analog circuits fault diagnosis.