On the Application of PCA Technique to Fault Diagnosis

查看全文 作　　者：DING [1]S;ZHANG [1]P;DING [2]E;YIN [1]S;Naik [1]A;DENG [3]P;GUI [3]W

机构地区：[1]Institute for Automatic Control and Complex Systems (AKS), University of Duisburg-Essen, 47057 Duisburg, Germany;[2]Department of Physical Engineering, University of Applied Sciences Gelsenkirchen, 45877 Gelsenkirchen, Germany;[3]School of Information Science and Engineering, Central South University, Changsha 410083, China

出　　处：《Tsinghua Science and Technology》索引2010年第15卷第2期,共7页

摘　　要：In this paper, we briefly address the application of the standard principal component analysis (PCA) technique to fault detection and identification. Based on an analysis of the existing test statistic, we propose a new test statistic, which is similar to the Hawkin’s TH 2 statistic but without the numerical drawback. In comparison with the SPE index, the threshold setting associated with the new statistic is computationally simpler. Our further study is dedicated to the analysis of fault sensitivity. We consider the off-set and scaling faults, and evaluate the test statistic by viewing its sensitivity to the faults. Our final study focuses on identifying off-set and scaling faults. To this end, two algorithms are proposed. This paper also includes some critical remarks on the application of the PCA technique to fault diagnosis. 关键词：故障诊断技术主成分分析法故障检测应用统计分析检验统计量灵敏度分析统计相关

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On the Application of PCA Technique to Fault Diagnosis

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