메뉴 건너뛰기




Volumn 71, Issue , 2014, Pages 307-322

Non-causal data-driven monitoring of the process correlation structure: A comparison study with new methods

Author keywords

Marginal correlation; Multivariate dynamic processes; Partial correlation; Process monitoring of the correlation structure; Sensitivity enhancing data transformations

Indexed keywords

COMPARISON STUDY; CORRELATION STRUCTURE; DATA TRANSFORMATION; DYNAMIC PROCESS; PARTIAL CORRELATION;

EID: 84907567575     PISSN: 00981354     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compchemeng.2014.09.003     Document Type: Article
Times cited : (13)

References (44)
  • 2
    • 0002508003 scopus 로고
    • Multivariate quality control
    • Wiley, New York
    • Alt F.B. Multivariate quality control. The encyclopedia of statistical sciences 1984, vol. 6:110-122. Wiley, New York.
    • (1984) The encyclopedia of statistical sciences , vol.6 , pp. 110-122
    • Alt, F.B.1
  • 3
    • 70350344697 scopus 로고
    • Multivariate process control
    • Elsevier, Amsterdam
    • Alt F.B., Smith N.D. Multivariate process control. Handbook of statistics 1988, vol. 7:333-351. Elsevier, Amsterdam.
    • (1988) Handbook of statistics , vol.7 , pp. 333-351
    • Alt, F.B.1    Smith, N.D.2
  • 5
    • 31244432482 scopus 로고    scopus 로고
    • Generalized variance chart design with adaptive sample sizes. The bivariate case
    • Aparisi F., Jabaloyes J., Carrión A. Generalized variance chart design with adaptive sample sizes. The bivariate case. Commun Stat - Simul Comput 2001, 30:931-948.
    • (2001) Commun Stat - Simul Comput , vol.30 , pp. 931-948
    • Aparisi, F.1    Jabaloyes, J.2    Carrión, A.3
  • 7
    • 0037470096 scopus 로고    scopus 로고
    • Process monitoring using causal map and multivariate statistics: fault detection and identification
    • Chiang L.H., Braatz R.D. Process monitoring using causal map and multivariate statistics: fault detection and identification. Chemom Intell Lab Syst 2003, 65:159-178.
    • (2003) Chemom Intell Lab Syst , vol.65 , pp. 159-178
    • Chiang, L.H.1    Braatz, R.D.2
  • 8
    • 62349136186 scopus 로고    scopus 로고
    • A new chart based on sample variances for monitoring the covariance matrix of multivariate processes
    • Costa A., Machado M. A new chart based on sample variances for monitoring the covariance matrix of multivariate processes. Int J Adv Manuf Technol 2009, 41:770-779.
    • (2009) Int J Adv Manuf Technol , vol.41 , pp. 770-779
    • Costa, A.1    Machado, M.2
  • 9
    • 18144404155 scopus 로고    scopus 로고
    • Improved monitoring of multivariate process variability
    • Djauhari M.A. Improved monitoring of multivariate process variability. J Qual Technol 2005, 37:32-39.
    • (2005) J Qual Technol , vol.37 , pp. 32-39
    • Djauhari, M.A.1
  • 10
    • 12344321571 scopus 로고    scopus 로고
    • Discovery of meaningful associations in genomic data using partial correlation coefficients
    • Fuente A.D.L., Bing N., Hoeschele I., Mendes P. Discovery of meaningful associations in genomic data using partial correlation coefficients. Bioinformatics 2004, 20:3565-3574.
    • (2004) Bioinformatics , vol.20 , pp. 3565-3574
    • Fuente, A.D.L.1    Bing, N.2    Hoeschele, I.3    Mendes, P.4
  • 11
    • 77956331009 scopus 로고    scopus 로고
    • A multivariate synthetic control chart for process dispersion
    • Ghute V.B., Shirke D.T. A multivariate synthetic control chart for process dispersion. Qual Technol Quant Manage 2008, 5:271-288.
    • (2008) Qual Technol Quant Manage , vol.5 , pp. 271-288
    • Ghute, V.B.1    Shirke, D.T.2
  • 12
    • 34547847454 scopus 로고
    • Testing variability in multivariate quality control: a conditional entropy measure approach
    • Guerrero-Cusumano J.-L. Testing variability in multivariate quality control: a conditional entropy measure approach. Inf Sci 1995, 86:179-202.
    • (1995) Inf Sci , vol.86 , pp. 179-202
    • Guerrero-Cusumano, J.-L.1
  • 13
    • 46749103696 scopus 로고    scopus 로고
    • Multivariate exponentially weighted moving covariance matrix
    • Hawkins D.M., Maboudou-Tchao E.M. Multivariate exponentially weighted moving covariance matrix. Technometrics 2008, 50:155-166.
    • (2008) Technometrics , vol.50 , pp. 155-166
    • Hawkins, D.M.1    Maboudou-Tchao, E.M.2
  • 14
    • 84863101603 scopus 로고
    • Quality control methods for several related variables
    • Jackson J.E. Quality control methods for several related variables. Technometrics 1959, 1:359-377.
    • (1959) Technometrics , vol.1 , pp. 359-377
    • Jackson, J.E.1
  • 15
    • 0018503842 scopus 로고
    • Control procedures for residuals associated with principal component analysis
    • Jackson J.E., Mudholkar G.S. Control procedures for residuals associated with principal component analysis. Technometrics 1979, 21:341-349.
    • (1979) Technometrics , vol.21 , pp. 341-349
    • Jackson, J.E.1    Mudholkar, G.S.2
  • 16
    • 0026108818 scopus 로고
    • Multivariate statistical monitoring of process operating performance
    • Kresta J.V., MacGregor J.F., Marlin T.E. Multivariate statistical monitoring of process operating performance. Can J Chem Eng 1991, 69:35-47.
    • (1991) Can J Chem Eng , vol.69 , pp. 35-47
    • Kresta, J.V.1    MacGregor, J.F.2    Marlin, T.E.3
  • 17
    • 0028892168 scopus 로고
    • Disturbance detection and isolation by dynamic principal component analysis
    • Ku W., Storer R.H., Georgakis C. Disturbance detection and isolation by dynamic principal component analysis. Chemom Intell Lab Syst 1995, 30:179-196.
    • (1995) Chemom Intell Lab Syst , vol.30 , pp. 179-196
    • Ku, W.1    Storer, R.H.2    Georgakis, C.3
  • 18
    • 0036611094 scopus 로고    scopus 로고
    • Variation charts for multivariate processes
    • Levinson W.A., Holmes D.S., Mergen A.E. Variation charts for multivariate processes. Qual Eng 2002, 14:539-545.
    • (2002) Qual Eng , vol.14 , pp. 539-545
    • Levinson, W.A.1    Holmes, D.S.2    Mergen, A.E.3
  • 20
    • 84891288202 scopus 로고    scopus 로고
    • A Multivariate synthetic control chart for monitoring covariance matrix based on conditional entropy
    • Springer, Berlin, Heidelberg, E. Qi, J. Shen, R. Dou (Eds.)
    • Liu L.-p., Zhong J.-l., Ma Y.-Z. A Multivariate synthetic control chart for monitoring covariance matrix based on conditional entropy. The 19th International Conference on Industrial Engineering and Engineering Management 2013, 99-107. Springer, Berlin, Heidelberg. E. Qi, J. Shen, R. Dou (Eds.).
    • (2013) The 19th International Conference on Industrial Engineering and Engineering Management , pp. 99-107
    • Liu, L.-P.1    Zhong, J.-L.2    Ma, Y.-Z.3
  • 21
  • 22
    • 0029267381 scopus 로고
    • Statistical process control of multivariate processes
    • MacGregor J.F., Kourti T. Statistical process control of multivariate processes. Control Eng Pract 1995, 3:403-414.
    • (1995) Control Eng Pract , vol.3 , pp. 403-414
    • MacGregor, J.F.1    Kourti, T.2
  • 23
    • 49749091140 scopus 로고    scopus 로고
    • Partial correlation metric based classifier for food product characterization
    • Melissa A.S., Raghuraj K.R., Lakshminarayanan S. Partial correlation metric based classifier for food product characterization. J Food Eng 2009, 90:146-152.
    • (2009) J Food Eng , vol.90 , pp. 146-152
    • Melissa, A.S.1    Raghuraj, K.R.2    Lakshminarayanan, S.3
  • 24
    • 0030856185 scopus 로고    scopus 로고
    • PLS, balanced, and canonical variate realization techniques for identifying VARMA models in state space
    • Negiz A., Çinar A. PLS, balanced, and canonical variate realization techniques for identifying VARMA models in state space. Chemom Intell Lab Syst 1997, 38:209-221.
    • (1997) Chemom Intell Lab Syst , vol.38 , pp. 209-221
    • Negiz, A.1    Çinar, A.2
  • 25
    • 0031208457 scopus 로고    scopus 로고
    • Statistical monitoring of multivariable dynamic processes with state-space models
    • Negiz A., Çinar A. Statistical monitoring of multivariable dynamic processes with state-space models. AIChE J 1997, 43:2002-2020.
    • (1997) AIChE J , vol.43 , pp. 2002-2020
    • Negiz, A.1    Çinar, A.2
  • 28
    • 33847330193 scopus 로고    scopus 로고
    • Partial correlation based variable selection approach for multivariate data classification methods
    • Rao K.R., Lakshminarayanan S. Partial correlation based variable selection approach for multivariate data classification methods. Chemom Intell Lab Syst 2007, 86:68-81.
    • (2007) Chemom Intell Lab Syst , vol.86 , pp. 68-81
    • Rao, K.R.1    Lakshminarayanan, S.2
  • 29
    • 84877112226 scopus 로고    scopus 로고
    • Defining the structure of DPCA models and its impact on process monitoring and prediction activities
    • Rato T.J., Reis M.S. Defining the structure of DPCA models and its impact on process monitoring and prediction activities. Chemom Intell Lab Syst 2013, 125:74-86.
    • (2013) Chemom Intell Lab Syst , vol.125 , pp. 74-86
    • Rato, T.J.1    Reis, M.S.2
  • 30
    • 84903315318 scopus 로고    scopus 로고
    • Sensitivity enhancing transformations for monitoring the process correlation structure
    • Rato T.J., Reis M.S. Sensitivity enhancing transformations for monitoring the process correlation structure. J Process Control 2014, 24:905-915.
    • (2014) J Process Control , vol.24 , pp. 905-915
    • Rato, T.J.1    Reis, M.S.2
  • 31
    • 54949156075 scopus 로고    scopus 로고
    • Combining partial correlation and an information theory approach to the reversed engineering of gene co-expression networks
    • Reverter A., Chan E.K.F. Combining partial correlation and an information theory approach to the reversed engineering of gene co-expression networks. Bioinformatics 2008, 24:2491-2497.
    • (2008) Bioinformatics , vol.24 , pp. 2491-2497
    • Reverter, A.1    Chan, E.K.F.2
  • 33
    • 3242891560 scopus 로고    scopus 로고
    • Estimating gene networks from gene expression data by combining Bayesian network model with promoter element detection
    • Tamada Y., Kim S., Bannai H., Imoto S., Tashiro K., Kuhara S., et al. Estimating gene networks from gene expression data by combining Bayesian network model with promoter element detection. Bioinformatics 2003, 19:ii227-ii236.
    • (2003) Bioinformatics , vol.19 , pp. ii227-ii236
    • Tamada, Y.1    Kim, S.2    Bannai, H.3    Imoto, S.4    Tashiro, K.5    Kuhara, S.6
  • 34
    • 0001925804 scopus 로고
    • Multivariate control charts for individual observations
    • Tracy N.D., Young J.C., Mason R.L. Multivariate control charts for individual observations. J Qual Technol 1992, 24:88-95.
    • (1992) J Qual Technol , vol.24 , pp. 88-95
    • Tracy, N.D.1    Young, J.C.2    Mason, R.L.3
  • 35
    • 79959245830 scopus 로고    scopus 로고
    • Multivariate statistical process monitoring based on statistics pattern analysis
    • Wang J., He Q.P. Multivariate statistical process monitoring based on statistics pattern analysis. Ind Eng Chem Res 2010, 49:7858-7869.
    • (2010) Ind Eng Chem Res , vol.49 , pp. 7858-7869
    • Wang, J.1    He, Q.P.2
  • 36
    • 22944436794 scopus 로고    scopus 로고
    • Process monitoring approach using fast moving window PCA
    • Wang X., Kruger U., Irwin G.W. Process monitoring approach using fast moving window PCA. Ind Eng Chem Res 2005, 44:5691-5702.
    • (2005) Ind Eng Chem Res , vol.44 , pp. 5691-5702
    • Wang, X.1    Kruger, U.2    Irwin, G.W.3
  • 37
    • 0030530039 scopus 로고    scopus 로고
    • The process chemometrics approach to process monitoring and fault detection
    • Wise B.M., Gallagher N.B. The process chemometrics approach to process monitoring and fault detection. J Process Control 1996, 6:329-348.
    • (1996) J Process Control , vol.6 , pp. 329-348
    • Wise, B.M.1    Gallagher, N.B.2
  • 39
    • 29144490275 scopus 로고    scopus 로고
    • A multivariate EWMA control chart for monitoring process variability with individual observations
    • Yeh A.B., Huwang L., Wu C.-W. A multivariate EWMA control chart for monitoring process variability with individual observations. IIE Trans 2005, 37:1023-1035.
    • (2005) IIE Trans , vol.37 , pp. 1023-1035
    • Yeh, A.B.1    Huwang, L.2    Wu, C.-W.3
  • 40
    • 33748949541 scopus 로고    scopus 로고
    • Multivariate control charts for monitoring covariance matrix: a review
    • Yeh A.B., Lin D.K.J., McGrath R.N. Multivariate control charts for monitoring covariance matrix: a review. Qual Technol Quant Manage 2006, 3:415-436.
    • (2006) Qual Technol Quant Manage , vol.3 , pp. 415-436
    • Yeh, A.B.1    Lin, D.K.J.2    McGrath, R.N.3
  • 41
    • 78349261478 scopus 로고    scopus 로고
    • A multivariate control chart for detecting increases in process dispersion
    • Yen C.-L., Shiau J.-J.H. A multivariate control chart for detecting increases in process dispersion. Stat Sin 2010, 20:1683-1707.
    • (2010) Stat Sin , vol.20 , pp. 1683-1707
    • Yen, C.-L.1    Shiau, J.-J.H.2
  • 42
    • 84861347780 scopus 로고    scopus 로고
    • Effective control charts for monitoring multivariate process dispersion
    • Yen C.-L., Shiau J.-J.H., Yeh A.B. Effective control charts for monitoring multivariate process dispersion. Qual Reliab Eng Int 2012, 28:409-426.
    • (2012) Qual Reliab Eng Int , vol.28 , pp. 409-426
    • Yen, C.-L.1    Shiau, J.-J.H.2    Yeh, A.B.3
  • 44
    • 0035802262 scopus 로고    scopus 로고
    • Reconstruction-based fault identification using a combined index
    • Yue H.H., Qin S.J. Reconstruction-based fault identification using a combined index. Ind Eng Chem Res 2001, 40:4403-4414.
    • (2001) Ind Eng Chem Res , vol.40 , pp. 4403-4414
    • Yue, H.H.1    Qin, S.J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.