| 基于KPCA和类峰值特征的模拟电路诊断方法 |
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| 引用本文： | 唐 静,胡云安,肖支才.基于KPCA和类峰值特征的模拟电路诊断方法[J].电讯技术,2011,51(12):117-122. |
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| 作者姓名： | 唐 静 胡云安 肖支才 |
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| 作者单位： | 海军航空工程学院 控制工程系，山东 烟台 264001;海军航空工程学院 控制工程系，山东 烟台 264001;海军航空工程学院 控制工程系，山东 烟台 264001 |
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| 基金项目： | 国家自然科学基金资助项目（61004002） |
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| 摘 要： | 针对传统的核主成分分析方法(KPCA)无法解决在故障样本交叠严重时多分类性能较差的问题,提出一种基于改进KPCA的特征提取和类峰值特征辅助识别分类相结合的模拟电路故障诊断方法.在预处理阶段,提出了一种图像混合欧氏距离用于建立核函数,进行核主成分分析特征提取,克服了传统KPCA的局限性;并且设计了一种用类峰值特征识别的方...
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| 关 键 词： | 模拟电路 故障诊断 主成分分析 欧氏距离 类峰值特征 |
An Analog Circuit Fault Diagnosis Method Based on KPCA and Class Peak Characteristics |
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| TANG Jing,HU Yun-an and XIAO Zhi-cai.An Analog Circuit Fault Diagnosis Method Based on KPCA and Class Peak Characteristics[J].Telecommunication Engineering,2011,51(12):117-122. |
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| Authors: | TANG Jing HU Yun-an and XIAO Zhi-cai |
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| Affiliation: | Department of Control Engineering,Naval Aeronautical and Astronautical University,Yantai 264001,China;Department of Control Engineering,Naval Aeronautical and Astronautical University,Yantai 264001,China;Department of Control Engineering,Naval Aeronautical and Astronautical University,Yantai 264001,China |
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| Abstract: | Traditional KPCA methods can not solve the problem
of poor multi-classification performance when fault samples overlap s
eriously. So, this paper presents a metho
d of analog circuit fault diagnosis based on improved KPCA and class peak characteristics
. In the data pre-processing stage,an Image Mixed Euclidean Distan
c
e(IMED) kernel principal component analysis method for data dimensionality reduction is proposed,which
overcomes the limitations of traditional KPCA methods.Then,feature recognition of the class peak method is designed to perform
pre-classification so as to improve classification speed.The circuit fault diagnosis shows that the method can
overcome the difficulty caused by overlap samples and is featured by good fault failure recognition speed and
accuracy. |
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| Keywords: | |
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