计算机工程2012，Vol.38Issue(4)：170-173,4.
结合OCSVM的模拟电路故障诊断方法
Analog Circuit Fault Diagnosis Method Combining OCSVM
摘要
Abstract
The traditional diagnosis method based on support vector machine lacks new type fault detection ability and expansibility. To solve this problem, a novel diagnosis method based on the combination of One-class SVM(OCSVM) and Multi-class SVM(MCSVM) is proposed. In this method, the OCSVM module is applied to the detection and preliminary classification of fault data, and the MCSVM module is used to improve the classification capability, which is a shortcoming of the OCSVM. Besides, the OCSVM algorithm is improved to perfect its detection and classification ability. Through an analog circuit fault diagnosis experiment, result shows the effectiveness of the improved OCSVM algorithm and the combined fault diagnosis method.关键词
模拟电路故障诊断/支持向量机/一类支持向量机/决策函数/正负类间隔/参数选择Key words
analog circuit fault diagnosis/ Support Vector Machine(SVM)/ One-class SVM(OCSVM)/ decision function/ distance between positive and negative class/ parameter selection分类
信息技术与安全科学引用本文复制引用
王俭臣,单甘霖,段修生,张岐龙..结合OCSVM的模拟电路故障诊断方法[J].计算机工程,2012,38(4):170-173,4.基金项目
国家部委基金资助项目 （）
