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斜交主元分析方法及其在故障诊断的应用

Oblique Principal Component Analysis
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摘要 针对主元分析(PCA)方法的特点,对其进行了拓展性研究。该方法针对主元分析的主元是正交的,而主元代表的现实事物的基本特征间往往存在一定的相关性。因此提出了斜交主元分析方法,并对斜交主元分析方法的理论体系及其应用进行了初步的探讨。 With reference to the characteristics of the oblique principle component analysis, the article conducts an exploring research with purpose of improving its monitoring sensitivity and diagnosing accuracy. The principle component used for principle component analysis is orthogonal,while the reality represented by the principle component possesses a definite relationship in regard to its basic specialty. The article proposes the method for oblique principle component analysis(OPCA),and conducts a preliminary study on the theoretical system of the method of OPCA,and on its application.
作者 田宝林 王纲
出处 《中国民航学院学报》 2005年第6期26-29,共4页 Journal of Civil Aviation University of China
关键词 主元分析 斜交主元分析 逆投影主元分析 故障检测和故障诊断 principal component analysis oblique PCA inverse projection principal component analysis fault detection and diagnosis
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参考文献3

  • 1Kresta J,MacGregor J F,Marlin T E. Multivariate statistical monitoring of process operating performance[A]. In:AICHE Meeting[C]. 1989.
  • 2田宝林,王纲.逆投影主元分析方法及其在故障诊断中的应用[J].计算技术与自动化,2003,22(2):68-70. 被引量:1
  • 3Seongkyu Yoon,MacGregor J F. Fault diagnosis with multivariate statistical models (Part Ⅰ ):using steady state fault signatures[J]. Journal of Process Control, 2001, ( 11 ): 387-400.

二级参考文献1

  • 1Seongkyu Yoon, John F. MacGregor. Fault Diagnosis with Multivariate Statistical Models Part I: Using Steady State Fault Signatures. Joumal of Process Control[J], 2001, 11:387-400.

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