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动态主元分析方法的研究及应用 被引量：4

Research on Dynamic Principal ComponentAnalysis and Application
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摘要 　主元分析(PCA)已广泛应用于监视多变量过程,但PCA不能有效地监视动态多变量过程.动态主元分析(DPCA)是一种将静态PCA推广应用到监视动态多变量过程的方法.本文通过实例验证了DPCA监视动态多变量过程的有效性. Principal component analysis(PCA) has been widely used for monitoring multivariate process, but PCA can not monitor dynamic multivariate process .Dynamic principal component analysis(DPCA) is a method by extending static PCA to monitor dynamic multivariate process. The paper verifies the effectiveness of DPCA for monitoring dynamic multivariate process.
作者 郭金玉
机构地区 沈阳化工学院
出处 《沈阳化工学院学报》 2004年第1期30-32,共3页 Journal of Shenyang Institute of Chemical Technolgy
关键词 多变量统计过程控制 过程监视 动态主元分析 multivariate statistical process control(MSPC) process monitoring dynamic principal component analysis(DPCA)
分类号 TP277 [自动化与计算机技术—检测技术与自动化装置]
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参考文献4

  • 1[1]Ku W, Storer R H, Georgakis C. Disturbance Detection and Isolation by Dynamic Principal Component Analysis[J]. Chemometrics and Intelligent Laboratory System, 1995,30:179-196.
  • 2[2]Russell Evan L, Chiang Leo H, Braatz Richard D. Fault Detection in Industrial Processes Using Canonical Variate Analysis and Dynamic Principal Component Analysis[J]. Chemometrics and Intelligent Laboratory System, 2000,51:81-93.
  • 3[3]Lin Weilu, Qian Yu, Li Xiuxi. Nonlinear Dynamic Principal Component Analysis for On-line Process Monitoring and Diagnosis[J]. Comp.Chem.Engng, 2000,24:423-429.
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同被引文献36

  • 1雍红月,李松林.运用主成分分析方法评价上市公司经营管理业绩[J].科学管理研究,2004,22(4):66-69. 被引量：23
  • 2中国证监会.中国证券监督委员会关于上市公司状况异常期间的特别处理的通知[Z].证监交字[1998]6号.
  • 3LAITINEN ERKKI K, LAITINEN T. Bankruptcy Prediction Application of Taylor' s Expansion in Logisitic Regression [ J]. International Review of Finance Anslysis. 2000, 9(4) :327 -349.
  • 4MOLINA C A. Predicting Bank Failure Using a Hazard Model, The Venezuelan Banking Crisis [ J]. Energing Market Review, 2002, 3(1) : 31 -50.
  • 5GINOGLOU, DEMETRIOS K AGORASTOS. Predicting Corporate Failure of Problematic Firms in Grecce with LPM Logit Probit and Discriminant Analydsis Models[ J]. Journal of Finanace Management and Analysis, 2002, 15 (1) : 1 -15.
  • 6SHIN, Kyung - Shik ; LEE, Yong - Joo. Agentic Algorithm Application in Bankruptcy Prediction Modeling [ J ]. Expert Systerms with Application, 2002, 23(3) : 321 -328.
  • 7GUOQIANG ZHANG; HU, M Y; PATUWO B E, etal. Artinfical Neural Networks in Bankruptcy Prediction General Framework and Cross - Nalidation Analysis[ J]. European Journal of Operational Research, 1999, 116( 1 ) : 16 -32.
  • 8LEE K, KIM J. Hybrid Neural Network-Driven Reasoning Approach to Bankruptcy Prediction : Comparison with MDA, ACLS, and Neural Network [ J ]. Neural Networks, IEEE World Congress on Computational Intelligence, 1994 (3) : 1787 - 1792.
  • 9AmyHing-LingLau. A Five-state Distress Prediction Model [ J ]. Journal of Accounting Research, 1987, 25 ( 1 ) : 127 - 138.
  • 10CHEN Junghui, LIU Kun-Chih. On-line Batch Process Monitoring using Dynamic PCA and Dynamic PLS Models [ J ]. Chemical Engineering Science,2002,57 ( 1 ) : 63 - 75.

引证文献4

二级引证文献8

沈阳化工学院学报
2004年 第1期

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