计算机应用研究2011，Vol.28Issue(6)：2085-2087,2112,4.DOI:10.3969/j.issn.1001-3695.2011.06.023
基于Fisher准则函数的相关向量机模拟电路故障诊断
RVM analog circuit fault diagnosis based on Fisher criterion function
摘要
Abstract
In order to reducing fuzzy group and overlap of analog circuit between fault and feature, improving classify ability of analog circuit fault diagnosis, used new approach of fuzzy nuclear cluster to select best diagnosable fault component set based on Fisher criterion function, and proposed a fault diagnosis model for analog circuit based on relevant vector machine (RVM) from the sparse Bayesian theory.First, established auto-adapted estimating approach for best cluster number, then could infer the discriminant function under the Bayesian framework.Moreover, it could judge the degree of confidence of classification resuit, assist diagnosis decision-making.The result indicates that RVM need less RVs than SVs with comparative default accuracy, sparser and generalizing.关键词
相关向量机/Fisher准则函数/模糊核聚类/稀疏贝叶斯/模拟电路/故障诊断Key words
relevant vector machine/ Fisher criterion function/ fuzzy kernel clustering(FKC)/ sparse Bayes/ analog circuit/fault diagnosis分类
信息技术与安全科学引用本文复制引用
杨颖涛,王跃钢,邓卫强..基于Fisher准则函数的相关向量机模拟电路故障诊断[J].计算机应用研究,2011,28(6):2085-2087,2112,4.基金项目
国家"973"计划资助项目(61355020301) （61355020301）
