메뉴 건너뛰기




Volumn 27, Issue 5, 2010, Pages 406-420

Process monitoring, fault diagnosis and quality prediction methods based on the multivariate statistical techniques

Author keywords

Multivariate statistical analysis; Process monitoring; Quality prediction

Indexed keywords

FAULT DIAGNOSIS; MULTIVARIATE STATISTICAL ANALYSIS; MULTIVARIATE STATISTICAL TECHNIQUES; ONLINE MONITORING; PROCESS SAFETY; PRODUCT QUALITY; QUALITY IMPROVEMENT; QUALITY PREDICTION; RESEARCH AND DEVELOPMENT; SOLUTION METHODS; STATISTICAL MODELING;

EID: 77956242645     PISSN: 02564602     EISSN: 09745971     Source Type: Journal    
DOI: 10.4103/0256-4602.62226     Document Type: Article
Times cited : (25)

References (112)
  • 5
    • 67349105650 scopus 로고    scopus 로고
    • Adaptive actuator fault compensation for linear systems with matching and unmatching uncertainties
    • Mar.
    • Y.W. Zhang, and S.J. Qin. "Adaptive actuator fault compensation for linear systems with matching and unmatching uncertainties," Journal of Process Control, vol. 19, pp. 985-90, Mar. 2009.
    • (2009) Journal of Process Control , vol.19 , pp. 985-990
    • Zhang, Y.W.1    Qin, S.J.2
  • 6
    • 77956256813 scopus 로고    scopus 로고
    • Actuator Fault-tolerant control for discrete systems with strong uncertainties
    • In press
    • Y.W. Zhang. "Actuator Fault-tolerant control for discrete systems with strong uncertainties, Comp Chem Engineer," In press.
    • Comp Chem Engineer
    • Zhang, Y.W.1
  • 7
    • 0242497447 scopus 로고    scopus 로고
    • Multivariate statistic process monitoring and control: Recent developments and applications to chemical industry
    • May.
    • J. Liang and J.X. Qian. "Multivariate statistic process monitoring and control: Recent developments and applications to chemical industry," Chin. Eng., vol. 11, pp. 191-203, May. 2003.
    • (2003) Chin. Eng. , vol.11 , pp. 191-203
    • Liang, J.1    Qian, J.X.2
  • 8
    • 58149488590 scopus 로고    scopus 로고
    • Research of statistical process control and its application
    • Sep.
    • X.Y. Qian, J.F. Jing, and X.X. Hou, "Research of statistical process control and its application," Comp Engineer, vol. 30, pp. 144-5, Sep. 2004.
    • (2004) Comp Engineer , vol.30 , pp. 144-145
    • Qian, X.Y.1    Jing, J.F.2    Hou, X.X.3
  • 11
    • 0000246790 scopus 로고
    • Principal components and factor analysis: Part Iprincipal components
    • May.
    • J.E. Jackson. "Principal components and factor analysis: Part Iprincipal components," Quality Technology, vol. 12, pp. 201-13, May. 1980.
    • (1980) Quality Technology , vol.12 , pp. 201-213
    • Jackson, J.E.1
  • 12
    • 0028905904 scopus 로고
    • Process analysis: Monitoring and diagnosis, using multivariate projection methods
    • Oct.
    • T. Kourti, and J.F. MacGregor. "Process analysis: Monitoring and diagnosis, using multivariate projection methods," Chemom. Intell. Lab. Syst., vol. 28, pp. 3-21, Oct. 1995.
    • (1995) Chemom. Intell. Lab. Syst. , vol.28 , pp. 3-21
    • Kourti, T.1    MacGregor, J.F.2
  • 13
    • 0028416938 scopus 로고
    • Independent component analysis: A new concept
    • Aug.
    • P. Comon. "Independent component analysis: A new concept," Signal Process, vol. 36, pp. 287-314, Aug. 1994.
    • (1994) Signal Process , vol.36 , pp. 287-314
    • Comon, P.1
  • 14
    • 0346307721 scopus 로고    scopus 로고
    • A Fast Fixed-Point Algorithm for Independent Component Analysis
    • A. Hyvärinen, and E. Oja. "A fast fixed-point algorithm for independent component analysis," Neural Computat, vol. 9, pp. 1483-92, Oct. 1997. (Pubitemid 127462801)
    • (1997) Neural Computation , vol.9 , Issue.7 , pp. 1483-1492
    • Hyvarinen, A.1    Oja, E.2
  • 16
    • 0037394190 scopus 로고    scopus 로고
    • Monitoring independent components for fault detection
    • Apr.
    • M. Kano, S. Tanaka, S. Hasebe, I. Hashimoto, and H. Ohno. "Monitoring independent components for fault detection," AIChE J., vol. 49, pp. 969-79, Apr. 2003.
    • (2003) AIChE J , vol.49 , pp. 969-979
    • Kano, M.1    Tanaka, S.2    Hasebe, S.3    Hashimoto, I.4    Ohno, H.5
  • 17
    • 0028916132 scopus 로고
    • Diagnosis of dementias using partial least-squates discriminant analysis
    • Mar.
    • J. Gottfries, K. Blennow, and A. Wallin. "Diagnosis of dementias using partial least-squates discriminant analysis," Dementia, vol. 6, pp. 83-8, Mar. 1995.
    • (1995) Dementia , vol.6 , pp. 83-88
    • Gottfries, J.1    Blennow, K.2    Wallin, A.3
  • 18
    • 84984368311 scopus 로고
    • A simple iteration algorithm for PLS regression
    • Sep.
    • E.Y. Zhu, and R.M. Barnes, "A simple iteration algorithm for PLS regression," J. Chemometrics, vol. 9, pp. 363-72, Sep. 1995.
    • (1995) J. Chemometrics , vol.9 , pp. 363-372
    • Zhu, E.Y.1    Barnes, R.M.2
  • 19
    • 0002815256 scopus 로고    scopus 로고
    • Improved PLS Algorithms
    • Jan
    • B.S. Dayal, and J.F. MacGregor, "Improved PLS Algorithms," J. Chemomet, vol. 11, pp. 73-85, Jan 1997.
    • (1997) J. Chemomet , vol.11 , pp. 73-85
    • Dayal, B.S.1    MacGregor, J.F.2
  • 22
    • 0037381038 scopus 로고    scopus 로고
    • A comparison of PCA, KPCA and ICA for dimensionality reduction in support vector machine
    • Sep.
    • L.J. Cao, K.S. Chua, W.K. Chong, H.P. Lee, and Q.M. Gu. "A comparison of PCA, KPCA and ICA for dimensionality reduction in support vector machine," Neurocomput, vol. 55(1-2), pp. 321-36, Sep. 2003.
    • (2003) Neurocomput , vol.55 , Issue.1-2 , pp. 321-336
    • Cao, L.J.1    Chua, K.S.2    Chong, W.K.3    Lee, H.P.4    Gu, Q.M.5
  • 23
    • 69549096357 scopus 로고    scopus 로고
    • Principal component analysis-based mesh decomposition
    • J.S. Chang, A.C.C. Shih, and H.R. Tyan, "Principal component analysis-based mesh decomposition," J Inform Sci Enginee, vol. 25, pp. 971-87, 2009.
    • (2009) J Inform Sci Enginee , vol.25 , pp. 971-987
    • Chang, J.S.1    Shih, A.C.C.2    Tyan, H.R.3
  • 24
    • 0018503842 scopus 로고
    • Control procedures for residuals associated with principal component analysis
    • J.E. Jackson, and G.S. Mudholkar. "Control procedures for residuals associated with principal component analysis," Technometrics, vol. 21, pp. 341-9, 1979.
    • (1979) Technometrics , vol.21 , pp. 341-349
    • Jackson, J.E.1    Mudholkar, G.S.2
  • 25
    • 0031208457 scopus 로고    scopus 로고
    • Statistical monitoring of multivariable dynamic process with state-space models
    • A. Negiza, and A. Cinara, "Statistical monitoring of multivariable dynamic process with state-space models," AICHE Journal, vol. 43, pp. 2002-20, 1997.
    • (1997) AICHE Journal , vol.43 , pp. 2002-2020
    • Negiza, A.1    Cinara, A.2
  • 26
    • 0037106519 scopus 로고    scopus 로고
    • Multivariate process monitoring and fault diagnosis by multiscale PCA
    • J.M. Lee, H. Hery, and S.J. Qin. "Multivariate process monitoring and fault diagnosis by multiscale PCA," Comp Chem Enginee, vol. 26, pp. 1281-93, 2002.
    • (2002) Comp Chem Enginee , vol.26 , pp. 1281-1293
    • Lee, J.M.1    Hery, H.2    Qin, S.J.3
  • 27
    • 1342285571 scopus 로고    scopus 로고
    • Statistical process monitoring with independent component analysis
    • Aug.
    • J.M. Lee, C. K. Yoo, and I.M. Lee. "Statistical process monitoring with independent component analysis," J Proc Con, vol. 14, pp. 467-85, Aug. 2004.
    • (2004) J Proc Con , vol.14 , pp. 467-485
    • Lee, J.M.1    Yoo, C.K.2    Lee, I.M.3
  • 28
    • 0032657437 scopus 로고    scopus 로고
    • Manufacturing performance enhancement through multivariate statistical process control
    • E.B. Martin, A.J. Morris, and C. Kiparissides. "Manufacturing performance enhancement through multivariate statistical process control," Annual Review in Control, vol. 23, pp. 35-44, 1999.
    • (1999) Annual Review in Control , vol.23 , pp. 35-44
    • Martin, E.B.1    Morris, A.J.2    Kiparissides, C.3
  • 29
    • 0030856185 scopus 로고    scopus 로고
    • PLS, balanced, and canonical variate realization techniques for identifying VARMA models in state space
    • A. Negiz, and A. Cinar. "PLS, balanced, and canonical variate realization techniques for identifying VARMA models in state space," Chemomet Intell Lab Syst vol. 38, pp. 209-21, 1997.
    • (1997) Chemomet Intell Lab Syst , vol.38 , pp. 209-221
    • Negiz, A.1    Cinar, A.2
  • 30
    • 30944447318 scopus 로고    scopus 로고
    • Present situation and prospect of process fault diagnosis technique
    • X.G. Deng, and X.M. Tian. "Present situation and prospect of process fault diagnosis technique," J Univ Petrol, vol. 29, pp. 151-7, 2005.
    • (2005) J Univ Petrol , vol.29 , pp. 151-157
    • Deng, X.G.1    Tian, X.M.2
  • 31
    • 11144325691 scopus 로고
    • Partial least squares regression: A tutorial
    • P. Gelad, and B.R. Kowalski. "Partial least squares regression: A tutorial," Analytica Chimica Acta, vol. 185, pp. 1-17, 1986.
    • (1986) Analytica Chimica Acta , vol.185 , pp. 1-17
    • Gelad, P.1    Kowalski, B.R.2
  • 32
    • 85162676194 scopus 로고
    • PLS regression methods
    • A. Hoskuldsson. "PLS regression methods," J Chemomet, vol. 2, pp. 211-28, 1988.
    • (1988) J Chemomet , vol.2 , pp. 211-228
    • Hoskuldsson, A.1
  • 33
    • 84984286248 scopus 로고
    • A PLS kernel algorithm for data sets with many variables and fewer objects, Part 1: Theory and algorithm
    • S. Rannar, F. Lindgren, P. Geladi, and S. Wold. "A PLS kernel algorithm for data sets with many variables and fewer objects, Part 1: Theory and algorithm," J Chemometrics, vol. 8, pp.111-25, 1994.
    • (1994) J Chemometrics , vol.8 , pp. 111-125
    • Rannar, S.1    Lindgren, F.2    Geladi, P.3    Wold, S.4
  • 34
    • 0034253564 scopus 로고    scopus 로고
    • Multivariate statistical process control of an industrial fluidized-bed reactor
    • A. Simoglou, E.B. Martin, and A.J. Morris. "Multivariate statistical process control of an industrial fluidized-bed reactor," Cont Enginee Pract, vol. 8, pp. 893-909, 2003.
    • (2003) Cont Enginee Pract , vol.8 , pp. 893-909
    • Simoglou, A.1    Martin, E.B.2    Morris, A.J.3
  • 36
    • 15744404703 scopus 로고    scopus 로고
    • Abnormal situation detection and projection methodsindustrial applications
    • Kourtit. "Abnormal situation detection and projection methodsindustrial applications," Chemomet Intell Lab Syst, vol. 76, pp. 215-20, 2005.
    • (2005) Chemomet Intell Lab Syst , vol.76 , pp. 215-220
    • Kourtit1
  • 37
    • 58149488590 scopus 로고    scopus 로고
    • Research of statistical process control (SPC) and its application
    • X.Y. Qian, J.F. Jing, and X.X. Hou. "Research of statistical process control (SPC) and its application," Comp Enginee, vol. 30, pp. 144-5, 2004.
    • (2004) Comp Enginee , vol.30 , pp. 144-145
    • Qian, X.Y.1    Jing, J.F.2    Hou, X.X.3
  • 38
    • 0242354134 scopus 로고    scopus 로고
    • Statistical process monitoring: Basics and beyond
    • S.J. Qin. "Statistical process monitoring: Basics and beyond," J Chemomet, vol. 17(8-9), pp. 480-502, 2003.
    • (2003) J Chemomet , vol.17 , Issue.8-9 , pp. 480-502
    • Qin, S.J.1
  • 39
    • 0037443803 scopus 로고    scopus 로고
    • A review of process fault detection and diagnosis part III: Process history based methods
    • DOI 10.1016/S0098-1354(02)00162-X, PII S009813540200162X
    • V. Venkatasubramanian. "A review of process fault detection and diagnosis part III: Process history based methods," Comp Chem Enginee, vol. 27(3), pp. 327-46, Mar. 2003. (Pubitemid 36285964)
    • (2003) Computers and Chemical Engineering , vol.27 , Issue.3 , pp. 327-346
    • Venkatasubramanian, V.1    Rengaswamy, R.2    Kavuri, S.N.3    Yin, K.4
  • 40
    • 77956235342 scopus 로고    scopus 로고
    • Blind identification of evoked human brain activity with independent component analysis of optical data
    • Aug.
    • J. Markham, B.R. White, and B.W. Zeff. "Blind identification of evoked human brain activity with independent component analysis of optical data," Hum Brain Mapp, vol. 14, pp. 467-85, Aug. 2004.
    • (2004) Hum Brain Mapp , vol.14 , pp. 467-485
    • Markham, J.1    White, B.R.2    Zeff, B.W.3
  • 42
    • 4344598922 scopus 로고    scopus 로고
    • Recovering dipole sources from scalp-recorded event-related-potentials using component analysis: Principal component analysis and independent component analysis
    • Nov.
    • J.E. Richards. "Recovering dipole sources from scalp-recorded event-related-potentials using component analysis: Principal component analysis and independent component analysis," Int J Psychophysiol, vol. 54(3), pp. 201-20, Nov. 2004.
    • (2004) Int J Psychophysiol , vol.54 , Issue.3 , pp. 201-220
    • Richards, J.E.1
  • 43
    • 33845793937 scopus 로고    scopus 로고
    • Extracting underlying meaningful features and canceling noise using independent component analysis for direct marketing
    • Jul.
    • H. Ahn, E. Choi, and I. Han. "Extracting underlying meaningful features and canceling noise using independent component analysis for direct marketing," Expert Syst., vol. 33(1), pp. 181-91, Jul. 2004.
    • (2004) Expert Syst , vol.33 , Issue.1 , pp. 181-191
    • Ahn, H.1    Choi, E.2    Han, I.3
  • 44
    • 0742319218 scopus 로고    scopus 로고
    • Modified singular value decomposition by means of independent component analysis
    • Mar.
    • V.D. Vrabie, J.I. Mars, and J.L. Lacoume. "Modified singular value decomposition by means of independent component analysis," Signal Process, vol. 84(3), pp. 645-52, Mar. 2004.
    • (2004) Signal Process , vol.84 , Issue.3 , pp. 645-652
    • Vrabie, V.D.1    Mars, J.I.2    Lacoume, J.L.3
  • 45
    • 33749473097 scopus 로고    scopus 로고
    • Fault detection and diagnosis based on modified independent component analysis
    • Oct.
    • J.M. Lee, S.J. Qin, and I.B. Lee. "Fault detection and diagnosis based on modified independent component analysis," AIChE J., vol. 52(10), pp. 3501-14, Oct. 2006.
    • (2006) AIChE J , vol.52 , Issue.10 , pp. 3501-3514
    • Lee, J.M.1    Qin, S.J.2    Lee, I.B.3
  • 47
    • 1042266980 scopus 로고    scopus 로고
    • On-line batch process monitoring using different unfolding method and independent component analysis
    • Nov.
    • J.M. Lee, C.K. Yoo, and I.B. Lee. "On-line batch process monitoring using different unfolding method and independent component analysis," J. Chem Enginee Japan, vol. 36(11), pp. 1384, Nov. 2003.
    • (2003) J. Chem Enginee Japan , vol.36 , Issue.11 , pp. 1384
    • Lee, J.M.1    Yoo, C.K.2    Lee, I.B.3
  • 48
    • 69349091999 scopus 로고    scopus 로고
    • Fast kernel-based independent component analysis
    • H. Shen, S. Jegelka, and A. Gretton. "Fast kernel-based independent component analysis," IEEE Transac Signal Process, vol. 57(9), pp. 3498-511, 2009.
    • (2009) IEEE Transac Signal Process , vol.57 , Issue.9 , pp. 3498-3511
    • Shen, H.1    Jegelka, S.2    Gretton, A.3
  • 49
    • 0035385132 scopus 로고    scopus 로고
    • A new approach to near-infrared spectral data analysis using independent component analysis
    • Jul.
    • J. Chen, and X.Z. Wang. "A new approach to near-infrared spectral data analysis using independent component analysis," J. Chem. Inf. Comput., vol. 41(4), pp. 992-1001, Jul. 2004.
    • (2004) J. Chem. Inf. Comput. , vol.41 , Issue.4 , pp. 992-1001
    • Chen, J.1    Wang, X.Z.2
  • 50
    • 0242667056 scopus 로고    scopus 로고
    • Statistical process monitoring with multivariate exponentially weighted moving average and independent component analysis
    • May.
    • J.M. Lee, C. Yoo, and I.B. Lee. "Statistical process monitoring with multivariate exponentially weighted moving average and independent component analysis," J. Chem. Eng., vol. 36(3), pp. 563-77, May. 2003.
    • (2003) J. Chem. Eng. , vol.36 , Issue.3 , pp. 563-577
    • Lee, J.M.1    Yoo, C.2    Lee, I.B.3
  • 51
    • 1942468131 scopus 로고    scopus 로고
    • Evolution of multivariate statistical process control: Application of independent component analysis and external analysis
    • M. Kano, S. Hasebe, I. Hashimoto, and H. Ohno. "Evolution of multivariate statistical process control: Application of independent component analysis and external analysis," Comput. Chem. Eng., vol. 28(6-7), pp. 1157-66, 2004.
    • (2004) Comput. Chem. Eng. , vol.28 , Issue.6-7 , pp. 1157-1166
    • Kano, M.1    Hasebe, S.2    Hashimoto, I.3    Ohno, H.4
  • 52
    • 3042632377 scopus 로고    scopus 로고
    • Statistical monitoring of dynamic processes based on dynamic independent component analysis
    • DOI 10.1016/j.ces.2004.04.031, PII S0009250904002660
    • J.M. Lee, C. Yoo, and I.B. Lee. "Statistical monitoring of dynamic processes based on dynamic independent component analysis," Chem. Eng. Sci., vol. 59(14), pp. 2995-3006, Jul. 2004. (Pubitemid 38814612)
    • (2004) Chemical Engineering Science , vol.59 , Issue.14 , pp. 2995-3006
    • Lee, J.-M.1    Yoo, C.K.2    Lee, I.-B.3
  • 53
    • 0042826822 scopus 로고    scopus 로고
    • Independent component analysis: Algorithms and applications
    • DOI 10.1016/S0893-6080(00)00026-5, PII S0893608000000265
    • A. Hyvärinen, and E. Oja. "Independent component analysis: Algorithms and applications," Neural Networks, vol. 13(4-5), pp. 411-30, 2000. (Pubitemid 30447427)
    • (2000) Neural Networks , vol.13 , Issue.4-5 , pp. 411-430
    • Hyvarinen, A.1    Oja, E.2
  • 54
    • 33845435132 scopus 로고    scopus 로고
    • New approximations of differential entropy for independent component analysis and projection pursuit
    • A. Hyvärinen. "New approximations of differential entropy for independent component analysis and projection pursuit," Adv Neural Informat Process Syst, vol. 10 (10), pp. 273-9, 1998.
    • (1998) Adv Neural Informat Process Syst , vol.10 , Issue.10 , pp. 273-279
    • Hyvärinen, A.1
  • 55
    • 0032629347 scopus 로고    scopus 로고
    • Fast and robust fixed-point algorithms for independent component analysis
    • May.
    • A. Hyvärinen. "Fast and robust fixed-point algorithms for independent component analysis," IEEE Transact Neural Networks, vol. 10(3), pp. 626-34, May. 1999.
    • (1999) IEEE Transact Neural Networks , vol.10 , Issue.3 , pp. 626-634
    • Hyvärinen, A.1
  • 56
    • 0000466122 scopus 로고    scopus 로고
    • Survey on independent component analysis
    • A. Hyvärinen. "Survey on independent component analysis," Neural Comp Surveys, vol. 2, pp. 94-128, 1999.
    • (1999) Neural Comp Surveys , vol.2 , pp. 94-128
    • Hyvärinen, A.1
  • 58
    • 34247109083 scopus 로고    scopus 로고
    • Process monitoring based on independent component analysis-principal component analysis (ICA-PCA) and similarity factors
    • Mar.
    • Z.Q. Ge, and Z.H. Song. "Process monitoring based on independent component analysis-principal component analysis (ICA-PCA) and similarity factors," Ind. Eng. Chem. Res., vol. 46(7), pp. 2054-60, Mar. 2007.
    • (2007) Ind. Eng. Chem. Res. , vol.46 , Issue.7 , pp. 2054-2060
    • Ge, Z.Q.1    Song, Z.H.2
  • 59
    • 64549118988 scopus 로고    scopus 로고
    • Enhanced process comprehension and statistical analysis for slow-varying batch processes
    • C.H. Zhao, and F.L. Wang. "Enhanced process comprehension and statistical analysis for slow-varying batch processes," Ind. Eng. Chem. Res., vol. 47(2), pp. 9996-10008, 2008.
    • (2008) Ind. Eng. Chem. Res. , vol.47 , Issue.2 , pp. 9996-10008
    • Zhao, C.H.1    Wang, F.L.2
  • 60
    • 33644481620 scopus 로고    scopus 로고
    • An improved adaptive multi-way principal component analysis for monitoring streptomycin fermentation
    • Feb.
    • N. He, S.Q. Wang, and L. Xie. "An improved adaptive multi-way principal component analysis for monitoring streptomycin fermentation," Chinese J Chem Enginee, vol. 12(1), pp. 96-101, Feb. 2004.
    • (2004) Chinese J Chem Enginee , vol.12 , Issue.1 , pp. 96-101
    • He, N.1    Wang, S.Q.2    Xie, L.3
  • 61
    • 28844473286 scopus 로고    scopus 로고
    • Independent component analysis and regression applied on sensory data
    • F. Westad. "Independent component analysis and regression applied on sensory data," J. Chemome, vol. 19(3), pp. 171-9, 2005.
    • (2005) J. Chemome , vol.19 , Issue.3 , pp. 171-179
    • Westad, F.1
  • 62
    • 42149192690 scopus 로고    scopus 로고
    • Development of a new regression analysis method using independent component analysis
    • H. Kaneko, M. Arakawa, and K. Funatsu. "Development of a new regression analysis method using independent component analysis," J. Chem. Inf. Modeling, vol. 48(3), pp. 534-41, 2008.
    • (2008) J. Chem. Inf. Modeling , vol.48 , Issue.3 , pp. 534-541
    • Kaneko, H.1    Arakawa, M.2    Funatsu, K.3
  • 63
    • 33646136443 scopus 로고    scopus 로고
    • A new regression method based on independent component analysis
    • May.
    • X.G. Shao, W. Wang, Z.Y. Hou, and W.S. Cai, "A new regression method based on independent component analysis," Talanta, vol. 69(3), pp. 676-80, May. 2006.
    • (2006) Talanta , vol.69 , Issue.3 , pp. 676-680
    • Shao, X.G.1    Wang, W.2    Hou, Z.Y.3    Cai, W.S.4
  • 64
    • 26944462733 scopus 로고    scopus 로고
    • Independent component analysis yields chemically interpretable latent variables in multivariate regression
    • Sep.
    • M.G. Gustafsson. "Independent component analysis yields chemically interpretable latent variables in multivariate regression," J. Chem. Inf. Modeling, vol. 45(5), pp. 1244-55, Sep. 2005.
    • (2005) J. Chem. Inf. Modeling , vol.45 , Issue.5 , pp. 1244-1255
    • Gustafsson, M.G.1
  • 65
    • 15944370634 scopus 로고    scopus 로고
    • Fault detection based on a maximum-likelihood principal component analysis (PCA) mixture
    • Mar.
    • S.W. Choi, E.B. Martin, and A.J. Morris. "Fault detection based on a maximum-likelihood principal component analysis (PCA) mixture," Indust Enginee Chemist Res, vol. 44(7), pp. 2316-27, Mar. 2005.
    • (2005) Indust Enginee Chemist Res , vol.44 , Issue.7 , pp. 2316-2327
    • Choi, S.W.1    Martin, E.B.2    Morris, A.J.3
  • 66
    • 2342521341 scopus 로고    scopus 로고
    • Process monitoring using a Gaussian mixture model via principal component analysis and discriminant analysis
    • Jul.
    • S.W. Choi, J.H. Park, and I.B. Lee. "Process monitoring using a Gaussian mixture model via principal component analysis and discriminant analysis," Comp Cheml Enginee, vol. 28(8), pp. 1377-87, Jul. 2004.
    • (2004) Comp Cheml Enginee , vol.28 , Issue.8 , pp. 1377-1387
    • Choi, S.W.1    Park, J.H.2    Lee, I.B.3
  • 67
    • 47549099484 scopus 로고    scopus 로고
    • Multimode process monitoring with Bayesian inference-based finite Gaussian mixture models
    • J. Yu, and S.J. Qin. "Multimode process monitoring with Bayesian inference-based finite Gaussian mixture models", AIChE Journal, vol. 54(7), pp. 1811-29, 2008.
    • (2008) AIChE Journal , vol.54 , Issue.7 , pp. 1811-1829
    • Yu, J.1    Qin, S.J.2
  • 69
    • 0031145293 scopus 로고    scopus 로고
    • Wavelet-based density estimation and application to process monitoring
    • May.
    • A.A. Safavi, J. Chen, and J.A. Romagnoli. "Wavelet-based density estimation and application to process monitoring," AIChE Journal, vol. 43(5), pp. 1227-41, May. 1997.
    • (1997) AIChE Journal , vol.43 , Issue.5 , pp. 1227-1241
    • Safavi, A.A.1    Chen, J.2    Romagnoli, J.A.3
  • 70
    • 0030525683 scopus 로고    scopus 로고
    • Non-parametric confidence bounds for process performance monitoring charts
    • Dec.
    • E.B. Martin, and A.J. Morris. "Non-parametric confidence bounds for process performance monitoring charts," J Proc Cont, vol. 6(6), pp. 349-58, Dec. 1996.
    • (1996) J Proc Cont , vol.6 , Issue.6 , pp. 349-358
    • Martin, E.B.1    Morris, A.J.2
  • 71
    • 60249095677 scopus 로고    scopus 로고
    • Probabilistic contribution analysis for statistical process monitoring: A missing variable approach
    • T. Chen, and Y. Sun. "Probabilistic contribution analysis for statistical process monitoring: A missing variable approach," Cont Enginee Pract, vol. 17(4), pp.469-7, 2009.
    • (2009) Cont Enginee Pract , vol.17 , Issue.4 , pp. 469-477
    • Chen, T.1    Sun, Y.2
  • 72
    • 0026113980 scopus 로고
    • Nonlinear principal component analysis using auto associative neural networks
    • M.A. Kramer. "Nonlinear principal component analysis using auto associative neural networks," AIChE J., vol. 37(2), pp. 233-43, 1991.
    • (1991) AIChE J , vol.37 , Issue.2 , pp. 233-243
    • Kramer, M.A.1
  • 73
    • 0034334827 scopus 로고    scopus 로고
    • Nonlinear principal components analysis with application to process fault detection
    • F. Jia, E.B. Martin, and A.J. Morris. "Nonlinear principal components analysis with application to process fault detection," Int J Syst Sci, vol.31, pp.1473-87, 2001.
    • (2001) Int J Syst Sci , vol.31 , pp. 1473-1487
    • Jia, F.1    Martin, E.B.2    Morris, A.J.3
  • 75
    • 0043015539 scopus 로고    scopus 로고
    • Nonlinear principal component analysis based on principal curves and neural networks
    • Jan.
    • D. Dong, and T.J. McAvoy. Nonlinear principal component analysis based on principal curves and neural networks, Comp Chem Engineer, vol. 20(1), pp. 65-78, Jan. 1996.
    • (1996) Comp Chem Engineer , vol.20 , Issue.1 , pp. 65-78
    • Dong, D.1    McAvoy, T.J.2
  • 76
    • 0037173819 scopus 로고    scopus 로고
    • Non-linear generalization of principal component analysis: From a global to a local approach
    • Jul.
    • G. Kerschen, and J.C. Golinval. "Non-linear generalization of principal component analysis: From a global to a local approach," J. Sound and Vibration, vol. 254(5), pp. 867-76, Jul. 2002.
    • (2002) J. Sound and Vibration , vol.254 , Issue.5 , pp. 867-876
    • Kerschen, G.1    Golinval, J.C.2
  • 77
    • 33845623677 scopus 로고    scopus 로고
    • Application of nonlinear feature extraction and support vector machines for fault diagnosis of induction motors
    • Jul.
    • A. Widodo, and B.S. Yang. "Application of nonlinear feature extraction and support vector machines for fault diagnosis of induction motors," Expert Syst., vol. 33(1), pp. 241-50, Jul. 2005.
    • (2005) Expert Syst , vol.33 , Issue.1 , pp. 241-250
    • Widodo, A.1    Yang, B.S.2
  • 78
    • 10244238854 scopus 로고    scopus 로고
    • Fault identification for process monitoring using kernel principal component analysis
    • Jan.
    • J.M. Lee, S.W. Choi, D.K. Lee, and I.B. Lee. "Fault identification for process monitoring using kernel principal component analysis," Chem. Eng. Sci., vol. 60(1), pp. 279-288, Jan. 2005.
    • (2005) Chem. Eng. Sci. , vol.60 , Issue.1 , pp. 279-288
    • Lee, J.M.1    Choi, S.W.2    Lee, D.K.3    Lee, I.B.4
  • 79
    • 2442495227 scopus 로고    scopus 로고
    • Fault detection of batch processes using multiway kernel principal component analysis
    • DOI 10.1016/j.compchemeng.2004.02.036, PII S0098135404000626
    • J.M. Lee, C. Yoo, and I.B. Lee. "Fault detection of batch processes using multiway kernel principal component analysis," Comput. Chem. Eng., vol. 28(9), pp.1837-47, Aug. 2004. (Pubitemid 38638303)
    • (2004) Computers and Chemical Engineering , vol.28 , Issue.9 , pp. 1837-1847
    • Lee, J.-M.1    Yoo, C.2    Lee, I.-B.3
  • 80
    • 11144331636 scopus 로고    scopus 로고
    • Fault detection and identification of nonlinear processes based on kernel PCA
    • Jan.
    • S.W. Choi, C. Lee, J.M. Lee, J.H. Park, and I.B. Lee. "Fault detection and identification of nonlinear processes based on kernel PCA", Chemom. Intell. Lab. Syst., vol. 75(1), pp. 55-67, Jan. 2005.
    • (2005) Chemom. Intell. Lab. Syst. , vol.75 , Issue.1 , pp. 55-67
    • Choi, S.W.1    Lee, C.2    Lee, J.M.3    Park, J.H.4    Lee, I.B.5
  • 81
    • 14544297033 scopus 로고    scopus 로고
    • KPCA plus LDA: A complete kernel Fisher discriminant framework for feature extraction and recognition
    • Feb.
    • J. Yang, A.F. Frangi, J.Y. Yang, D. Zhang, and Z. Jin. "KPCA plus LDA: A complete kernel Fisher discriminant framework for feature extraction and recognition," IEEE Trans. Pattern Anal., vol. 27(2), pp. 230-44, Feb. 2005.
    • (2005) IEEE Trans. Pattern Anal. , vol.27 , Issue.2 , pp. 230-244
    • Yang, J.1    Frangi, A.F.2    Yang, J.Y.3    Zhang, D.4    Jin, Z.5
  • 82
    • 33847300613 scopus 로고    scopus 로고
    • Kernel PLS regression on wavelet transformed NIR spectra for prediction of sugar content of apple
    • Feb.
    • B.M. Nicolaï, K.I. Theron, and J. Lammertyn. "Kernel PLS regression on wavelet transformed NIR spectra for prediction of sugar content of apple," Chemom. Intell. Lab. Syst., vol. 85(2), pp. 243-52, Feb. 2007.
    • (2007) Chemom. Intell. Lab. Syst. , vol.85 , Issue.2 , pp. 243-252
    • Nicolaï, B.M.1    Theron, K.I.2    Lammertyn, J.3
  • 83
    • 33750429920 scopus 로고    scopus 로고
    • Nonlinear feature extraction and classification of multivariate process data in kernel feature space
    • Feb.
    • H.W. Cho. "Nonlinear feature extraction and classification of multivariate process data in kernel feature space," Expert Syst., vol. 32(2), pp. 534-42, Feb. 2007.
    • (2007) Expert Syst , vol.32 , Issue.2 , pp. 534-542
    • Cho, H.W.1
  • 84
    • 33846432352 scopus 로고    scopus 로고
    • Identification of contributing variables using kernel-based discriminant modeling and reconstruction
    • H.W. Cho. "Identification of contributing variables using kernel-based discriminant modeling and reconstruction," Expert Syst., vol. 33(2), pp. 274-85, 2007.
    • (2007) Expert Syst , vol.33 , Issue.2 , pp. 274-285
    • Cho, H.W.1
  • 85
    • 36348941124 scopus 로고    scopus 로고
    • Fault detection of nonlinear process using multiway kernel independent component analysis
    • Y.W. Zhang, and S.J. Qin. "Fault detection of nonlinear process using multiway kernel independent component analysis," Ind. Eng. Chem. Res, vol. 46, pp. 7780-7, 2007.
    • (2007) Ind. Eng. Chem. Res , vol.46 , pp. 7780-7787
    • Zhang, Y.W.1    Qin, S.J.2
  • 86
    • 53349175658 scopus 로고    scopus 로고
    • Fault detection and diagnosis of nonlinear processes using improved kernel independent component analysis (KICA) and support vector machine (SVM)
    • Y.W. Zhang. "Fault detection and diagnosis of nonlinear processes using improved kernel independent component analysis (KICA) and support vector machine (SVM)," Ind. Eng. Chem. Res., vol. 47 (18), pp. 6961-71, 2008.
    • (2008) Ind. Eng. Chem. Res. , vol.47 , Issue.18 , pp. 6961-6971
    • Zhang, Y.W.1
  • 87
    • 53649106193 scopus 로고    scopus 로고
    • Nonlinear process monitoring based on kernel dissimilarity analysis
    • C.H. Zhao, F.L. Wang, and Y.W. Zhang. "Nonlinear process monitoring based on kernel dissimilarity analysis," Cont Enginee Pract, vol. 17, pp. 221-30, 2009.
    • (2009) Cont Enginee Pract , vol.17 , pp. 221-230
    • Zhao, C.H.1    Wang, F.L.2    Zhang, Y.W.3
  • 88
    • 57049177632 scopus 로고    scopus 로고
    • Improved Nonlinear Fault Detection Technique and Analysis
    • Y.W. Zhang, and S.J. Qin. "Improved Nonlinear Fault Detection Technique and Analysis," AIChE J., vol. 54(2), pp. 3207-20, 2008.
    • (2008) AIChE J , vol.54 , Issue.2 , pp. 3207-3220
    • Zhang, Y.W.1    Qin, S.J.2
  • 89
    • 58749115727 scopus 로고    scopus 로고
    • Enhanced statistical analysis of nonlinear processes using KPCA, KICA and SVM
    • Y.W. Zhang. "Enhanced statistical analysis of nonlinear processes using KPCA, KICA and SVM," Chem Enginee Sci, vol. 64(5), pp. 801-11, 2009.
    • (2009) Chem Enginee Sci , vol.64 , Issue.5 , pp. 801-811
    • Zhang, Y.W.1
  • 90
    • 36148959019 scopus 로고    scopus 로고
    • Improved kernel principal component analysis for fault detection
    • Apr.
    • P.L. Cui, J.H. Li, and G.Z. Wang. "Improved kernel principal component analysis for fault detection," Expert Syst., vol. 34(2), pp. 1210-9, Apr. 2008.
    • (2008) Expert Syst , vol.34 , Issue.2 , pp. 1210-1219
    • Cui, P.L.1    Li, J.H.2    Wang, G.Z.3
  • 92
    • 70350318936 scopus 로고    scopus 로고
    • Nonlinear batch process monitoring using phase-based kernel independent component analysis-principal component analysis (KICA-PCA)
    • [In press]
    • C.H. Zhao, F.L. Wang, and F.R. Gao. "Nonlinear batch process monitoring using phase-based kernel independent component analysis-principal component analysis (KICA-PCA)," Submitted to Ind. Eng. Chem. Res. 2010.[In press].
    • (2010) Submitted to Ind. Eng. Chem. Res.
    • Zhao, C.H.1    Wang, F.L.2    Gao, F.R.3
  • 93
    • 0029699446 scopus 로고    scopus 로고
    • An overview of multivariate statistical process control in continuous and batch process performance monitoring
    • E.B. Martin, and A.J. Morris. "An overview of multivariate statistical process control in continuous and batch process performance monitoring," Trans Institute Measurement Cont, vol. 18(1), pp. 51-60, 1996.
    • (1996) Trans Institute Measurement Cont , vol.18 , Issue.1 , pp. 51-60
    • Martin, E.B.1    Morris, A.J.2
  • 94
    • 0036805513 scopus 로고    scopus 로고
    • Process analysis and abnormal situation detection: From theory to practice
    • Oct.
    • T. Kourti. "Process analysis and abnormal situation detection: From theory to practice," IEEE Cont Sys Magaz, vol. 22(5), pp.10-25, Oct. 2002.
    • (2002) IEEE Cont Sys Magaz , vol.22 , Issue.5 , pp. 10-25
    • Kourti, T.1
  • 95
    • 0242497447 scopus 로고    scopus 로고
    • Multivariate statistical process monitoring and control: Recent developments and applications to chemical industry
    • Apr.
    • J. Liang, and J.X. Qian. "Multivariate statistical process monitoring and control: Recent developments and applications to chemical industry," Chinese J Chem Enginee, vol. 11(2), pp. 191-203, Apr. 2003.
    • (2003) Chinese J Chem Enginee , vol.11 , Issue.2 , pp. 191-203
    • Liang, J.1    Qian, J.X.2
  • 96
    • 28244475768 scopus 로고    scopus 로고
    • Semiconductor manufacturing process control and monitoring: A fab-wide framework
    • S.J. Qin, G. Cherry, R. Good, J. Wang, and C.A. Harrison. "Semiconductor manufacturing process control and monitoring: A fab-wide framework," J Proc Cont, vol. 16(3), pp. 179-91, 2006.
    • (2006) J Proc Cont , vol.16 , Issue.3 , pp. 179-191
    • Qin, S.J.1    Cherry, G.2    Good, R.3    Wang, J.4    Harrison, C.A.5
  • 97
    • 0028483476 scopus 로고
    • Monitoring batch processes using multiway principal component analysis
    • P. Nomikos, and J.F. MacGregor. "Monitoring batch processes using multiway principal component analysis," AIChE J., vol. 40, pp. 1361-75, 1994.
    • (1994) AIChE J , vol.40 , pp. 1361-1375
    • Nomikos, P.1    MacGregor, J.F.2
  • 98
    • 0028825273 scopus 로고
    • Multiway partial least squares in monitoring batch processes
    • P. Nomikos, and J.F MacGregor. "Multiway partial least squares in monitoring batch processes," Chem. Intell. Lab. Sys, vol. 30, pp. 97-108, 1995.
    • (1995) Chem. Intell. Lab. Sys , vol.30 , pp. 97-108
    • Nomikos, P.1    MacGregor, J.F.2
  • 99
    • 0029252734 scopus 로고
    • Multivariate SPC charts for monitoring batch processes
    • Feb.
    • P. Nomikos, and J.F. MacGregor. "Multivariate SPC charts for monitoring batch processes," Technometrics, vol. 37 (1), pp. 41-59, Feb. 1995.
    • (1995) Technometrics , vol.37 , Issue.1 , pp. 41-59
    • Nomikos, P.1    MacGregor, J.F.2
  • 100
    • 0029703047 scopus 로고    scopus 로고
    • Experiences with industrial applications of projection methods for multivariate statistical process control
    • T. Kourti, J. Lee, and J.F. MacGregor. "Experiences with industrial applications of projection methods for multivariate statistical process control," Comput. Chem. Eng., vol. 20, pp. S745-50, 1996.
    • (1996) Comput. Chem. Eng. , vol.20
    • Kourti, T.1    Lee, J.2    MacGregor, J.F.3
  • 101
    • 0029720138 scopus 로고    scopus 로고
    • Application of multiway principal component analysis to nuclear waste storage tank monitoring
    • N.B. Gallagher, and B.M. Wise. "Application of multiway principal component analysis to nuclear waste storage tank monitoring," Comput. Chem. Eng., vol. 20, pp. S739-44, 1996.
    • (1996) Comput. Chem. Eng. , vol.20
    • Gallagher, N.B.1    Wise, B.M.2
  • 103
    • 0030211997 scopus 로고    scopus 로고
    • Batch tracking via nonlinear principal component analysis
    • Aug.
    • D. Dong, and T.J. McAvoy. "Batch tracking via nonlinear principal component analysis," AIChE J., vol. 42(8), pp. 2199-208, Aug. 1996.
    • (1996) AIChE J , vol.42 , Issue.8 , pp. 2199-2208
    • Dong, D.1    McAvoy, T.J.2
  • 104
    • 0344222193 scopus 로고    scopus 로고
    • Adaptive batch monitoring using hierarchical PCA
    • S. Rännar, J.F. MacGregor, and S. Wold. "Adaptive batch monitoring using hierarchical PCA," Chem. Intell. Lab. Sys., vol. 41(1), pp. 73-81, 1998.
    • (1998) Chem. Intell. Lab. Sys. , vol.41 , Issue.1 , pp. 73-81
    • Rännar, S.1    MacGregor, J.F.2    Wold, S.3
  • 105
    • 0346911568 scopus 로고    scopus 로고
    • Nonlinear process monitoring using kernel principal component analysis
    • Jan.
    • J.M. Lee, C.K. Yoo, S.W. Choi, P.A. Vanrolleghem, and I.B. Lee. "Nonlinear process monitoring using kernel principal component analysis," Chem. Eng. Sci., vol. 59(1), pp. 223-34, Jan. 2004.
    • (2004) Chem. Eng. Sci. , vol.59 , Issue.1 , pp. 223-234
    • Lee, J.M.1    Yoo, C.K.2    Choi, S.W.3    Vanrolleghem, P.A.4    Lee, I.B.5
  • 106
    • 0033404122 scopus 로고    scopus 로고
    • Monitoring a PVC batch process with multivariate statistical process control charts
    • Dec.
    • A.A. Tates, D.J. Louwerse, and A.K. Smilde. Monitoring a PVC batch process with multivariate statistical process control charts, Ind. Eng. Chem. Res, vol. 38, pp. 4769-76, Dec. 1999.
    • (1999) Ind. Eng. Chem. Res , vol.38 , pp. 4769-4776
    • Tates, A.A.1    Louwerse, D.J.2    Smilde, A.K.3
  • 107
    • 0000609488 scopus 로고    scopus 로고
    • Comparing alternative approaches for multivariate statistical analysis of batch process data
    • J.A. Westerhuis, T. Kourti, and J.F MacGregor. "Comparing alternative approaches for multivariate statistical analysis of batch process data," J. Chemometrics, vol. 13(3-4), pp. 397-413, 1999.
    • (1999) J. Chemometrics , vol.13 , Issue.3-4 , pp. 397-413
    • Westerhuis, J.A.1    Kourti, T.2    MacGregor, J.F.3
  • 108
    • 0032694625 scopus 로고    scopus 로고
    • Supervision of fed-batch fermentations
    • Aug.
    • L. Gregersen, and S.B. Jorgensen. "Supervision of fed-batch fermentations," Chem. Eng. J., vol. 75(1), pp. 69-76, Aug. 1999.
    • (1999) Chem. Eng. J. , vol.75 , Issue.1 , pp. 69-76
    • Gregersen, L.1    Jorgensen, S.B.2
  • 109
    • 0035253422 scopus 로고    scopus 로고
    • Multivariate statistical monitoring of batch processes: An industrial case study of fermentation supervision
    • Feb.
    • S. Albert, and R.D. Kinley. "Multivariate statistical monitoring of batch processes: An industrial case study of fermentation supervision," Trends Biotechnol, vol. 19(2), pp. 53-62, Feb. 2001.
    • (2001) Trends Biotechnol , vol.19 , Issue.2 , pp. 53-62
    • Albert, S.1    Kinley, R.D.2
  • 111
    • 0034130478 scopus 로고    scopus 로고
    • The application of principal component analysis and kernel density estimation to enhance process monitoring
    • May
    • Q. Chen, and R.J. Wynne. "The application of principal component analysis and kernel density estimation to enhance process monitoring," Cont. Eng. Prac., vol.8 (5), pp. 531-43, May 2000.
    • (2000) Cont. Eng. Prac. , vol.8 , Issue.5 , pp. 531-543
    • Chen, Q.1    Wynne, R.J.2
  • 112
    • 0037282647 scopus 로고    scopus 로고
    • Multivariate dynamic data modeling for analysis and statistical process control of batch processes, start-ups and grade transitions
    • Jan.
    • T. Kourti. "Multivariate dynamic data modeling for analysis and statistical process control of batch processes, start-ups and grade transitions," J. Chemom., vol. 17 (1), pp. 93-109, Jan. 2003.
    • (2003) J. Chemom. , vol.17 , Issue.1 , pp. 93-109
    • Kourti, T.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.