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      PCA 와 ICA 다변량 모니터링 성능 비교 = Performance Comparison of PCA And ICA Monitoring for Fault Detection

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      https://www.riss.kr/link?id=A82372061

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      다국어 초록 (Multilingual Abstract)

      In this paper, we compare a performance of principal component analysis(PCA) and independent component analysis (ICA) process monitoring which are multivariate process monitoring technique. ICA monitoring which is recently developed has been evaluated by compared with PCA monitoring. However there is only simple case to evaluate a performance of these monitoring in the many researches. It is not covered with many cases which can occur in diverse processes. In this paper, the monitoring performance is compared with applications to various simulations. The results of simulation present that these monitorings have a different preference according to process situations.
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      In this paper, we compare a performance of principal component analysis(PCA) and independent component analysis (ICA) process monitoring which are multivariate process monitoring technique. ICA monitoring which is recently developed has been evaluated...

      In this paper, we compare a performance of principal component analysis(PCA) and independent component analysis (ICA) process monitoring which are multivariate process monitoring technique. ICA monitoring which is recently developed has been evaluated by compared with PCA monitoring. However there is only simple case to evaluate a performance of these monitoring in the many researches. It is not covered with many cases which can occur in diverse processes. In this paper, the monitoring performance is compared with applications to various simulations. The results of simulation present that these monitorings have a different preference according to process situations.

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      참고문헌 (Reference)

      1 이배진, "배치공정의 온라인 모니터링을 위한 다변량 관리도"

      2 Q. Chen, "The application of principal component analysis and kernel density estimation to enhance process monitoring" 8 : 531-543, 2000

      3 H.Hotelling, "The Generalization of Student's Ratio" 2 : 360-378, 1931

      4 H. Li. H. Guo, "The Application of Independent Component Analysis in Process Monitoring" 1 : 97-100, 2006

      5 A. Hyvärinen, "Survey on independent component analysis" 2 : 94-128, 1999

      6 J.M. Lee, "Statistical process monitoring with independent component analysis" 14 : 467-485, 2004

      7 A. Simoglou, "Statistical performance monitoring of dynamic multivariate process using state space modeling" 26 (26): 909-920, 2001

      8 J.M. Lee, "Statistical monitoring of dynamic processes based on dynamic independent component analysis" 59 : 2995-3006, 2004

      9 G.E.P. Box, "Some Theorems on Quadratic Forms Applied in the Study of Analysis of Variance Problems:Effect of Inequality of Variance in One-way Classification" 25 : 290-302, 1954

      10 D.M. Hawkins, "Regression Adjustment for variables in Multivariate Quality Control" 25 : 170-182, 1993

      1 이배진, "배치공정의 온라인 모니터링을 위한 다변량 관리도"

      2 Q. Chen, "The application of principal component analysis and kernel density estimation to enhance process monitoring" 8 : 531-543, 2000

      3 H.Hotelling, "The Generalization of Student's Ratio" 2 : 360-378, 1931

      4 H. Li. H. Guo, "The Application of Independent Component Analysis in Process Monitoring" 1 : 97-100, 2006

      5 A. Hyvärinen, "Survey on independent component analysis" 2 : 94-128, 1999

      6 J.M. Lee, "Statistical process monitoring with independent component analysis" 14 : 467-485, 2004

      7 A. Simoglou, "Statistical performance monitoring of dynamic multivariate process using state space modeling" 26 (26): 909-920, 2001

      8 J.M. Lee, "Statistical monitoring of dynamic processes based on dynamic independent component analysis" 59 : 2995-3006, 2004

      9 G.E.P. Box, "Some Theorems on Quadratic Forms Applied in the Study of Analysis of Variance Problems:Effect of Inequality of Variance in One-way Classification" 25 : 290-302, 1954

      10 D.M. Hawkins, "Regression Adjustment for variables in Multivariate Quality Control" 25 : 170-182, 1993

      11 G.Chen, "Predictive On-line Monitoring of Continuous Processes" 8 (8): 409-420, 1998

      12 E.B. Martin, "Non-parmetric confidence bounds for porcess performance monitoring charts" 6 : 349-358, 1996

      13 A. Hyvärinen, "New approximations of differential entropy for independent component analysis and projection pursuit" 10 : 273-279, 1998

      14 J. Kresta, "Multivariate Statistical Monitoring of Process Operating Performance" 69 : 35-47, 1991

      15 D.M.Hawkins, "Multivariate Quality Control Based on Regression Adjusted Variables" 33 : 61-75, 1991

      16 F.B. Alt, "Multivariate Quality Control" 6 : 110-122, 1984

      17 B. Skagerberg, "Multivariate Data Analysis Applied to Low Density Polyethylene Reactors" 14 : 341-356, 1992

      18 N.D. Tracy, "Multivariate Control Charts for Individual Observations" 24 : 88-95, 1992

      19 M. Kano, "Monitoring Independent Component for Fault Detection" 49 (49): 969-976, 2003

      20 M.P. Wand, "Kernel Smoothing" Chapman & Hall 1995

      21 D.C. Montgomery, "Introduction to statistical quality control" John Wiley & Sons 507-525, 2001

      22 A.Hyvärinen,E.Oja, "Independent component analysis:algorithms and applications" 13 : 411-430, 2000

      23 A. Hyvärinen, "Independent Component Analysis" John Wiley & Sons 2001

      24 P. Comon, "Icdependent component analysis" 36 : 287-314, 1994

      25 J. Liang, "Faluts detection and isolation based on PCA:an industrial reheating furnace case study" 2 : 1193-1198, 2003

      26 M. Kano, "Evolution of multivariate statistical process control:application of independent component analysis and external analysis" 28 : 1157-1166, 2003

      27 W.Ku, "Disturbance detection and isolation by dynamic principal compoenet anlysis" 30 : 179-196, 1995

      28 B.W. Silverman, "Density Estimation for Statistics and Data Analysis" Chapman & Hall 1986

      29 J.E. Jackson, "Control Procedures for Residuals Associated With Principal Component Analysis" 21 (21): 341-349, 1979

      30 J.F Cardoso, "Blind beamforming for non-Gaussian signals" 140 (140): 363-370, 1993

      31 A.D. Back, "A first application of independent component analysis to extracting structure from stock return" 8 (8): 473-484, 1997

      32 J.E. Jackson, "A User's Guide to Principal Components" John Wiley & Sons,Inc. 1991

      33 C.A. Lowry, "A Multivariate Exponentially Weighted Moving Average Control Chart" 34 : 46-53, 1992

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      학술지 이력

      학술지 이력
      연월일 이력구분 이력상세 등재구분
      2022 평가예정 재인증평가 신청대상 (재인증)
      2019-01-01 평가 등재학술지 선정 (계속평가) KCI등재
      2018-01-01 평가 등재후보학술지 유지 (계속평가) KCI등재후보
      2017-12-01 평가 등재후보로 하락 (계속평가) KCI등재후보
      2014-01-01 평가 등재학술지 선정 (계속평가) KCI등재
      2013-01-01 평가 등재후보 1차 PASS (등재후보1차) KCI등재후보
      2012-01-01 평가 등재후보학술지 유지 (기타) KCI등재후보
      2011-01-01 평가 등재후보학술지 유지 (등재후보1차) KCI등재후보
      2010-01-01 평가 등재후보학술지 유지 (등재후보1차) KCI등재후보
      2009-01-01 평가 등재후보학술지 유지 (등재후보1차) KCI등재후보
      2008-01-01 평가 등재후보학술지 유지 (등재후보1차) KCI등재후보
      2007-01-01 평가 등재후보 1차 FAIL (등재후보1차) KCI등재후보
      2006-01-01 평가 등재후보학술지 유지 (등재후보2차) KCI등재후보
      2005-01-01 평가 등재후보 1차 PASS (등재후보1차) KCI등재후보
      2004-01-01 평가 등재후보 1차 FAIL (등재후보2차) KCI등재후보
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      2002-01-01 평가 등재후보학술지 유지 (등재후보1차) KCI등재후보
      2001-01-01 평가 등재후보학술지 선정 (신규평가) KCI등재후보
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      학술지 인용정보

      학술지 인용정보
      기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
      2016 0.44 0.44 0.43
      KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
      0.36 0.34 0.539 0.23
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