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Volumn 142, Issue , 2015, Pages 265-275

On-line process monitoring using local measures of association. Part II: Design issues and fault diagnosis

Author keywords

Control chart design; Fault diagnosis; Marginal correlations; Multivariate systems; Partial correlations

Indexed keywords

ACCURACY; ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; ASSOCIATION; CONTINUOUS STIRRED TANK REACTOR; CORRELATION ANALYSIS; MONTE CARLO METHOD; ONLINE MONITORING; PRIORITY JOURNAL;

EID: 84940194751     PISSN: 01697439     EISSN: 18733239     Source Type: Journal    
DOI: 10.1016/j.chemolab.2015.02.007     Document Type: Article
Times cited : (22)

References (21)
  • 1
    • 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
  • 2
    • 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
  • 3
    • 0034621628 scopus 로고    scopus 로고
    • Generalized contribution plots in multivariate statistical process monitoring
    • Westerhuis J.A., Gurden S.P., Smilde A.K. Generalized contribution plots in multivariate statistical process monitoring. Chemom. Intell. Lab. Syst. 2000, 51:95-114.
    • (2000) Chemom. Intell. Lab. Syst. , vol.51 , pp. 95-114
    • Westerhuis, J.A.1    Gurden, S.P.2    Smilde, A.K.3
  • 4
    • 0001282938 scopus 로고    scopus 로고
    • On unifying multiblock analysis with application to decentralized process monitoring
    • Qin S.J., Valle S., Piovoso M.J. On unifying multiblock analysis with application to decentralized process monitoring. J. Chemom. 2001, 15:715-742.
    • (2001) J. Chemom. , vol.15 , pp. 715-742
    • Qin, S.J.1    Valle, S.2    Piovoso, M.J.3
  • 5
    • 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
  • 6
    • 84940174310 scopus 로고    scopus 로고
    • On-line process monitoring using local measures of association. Part I: detection
    • (in press)
    • Rato T.J., Reis M.S. On-line process monitoring using local measures of association. Part I: detection. Chemom. Intell. Lab. Syst. 2015, (in press). 10.1016/j.chemolab.2015.02.011.
    • (2015) Chemom. Intell. Lab. Syst.
    • Rato, T.J.1    Reis, M.S.2
  • 8
    • 44649107251 scopus 로고    scopus 로고
    • A practical method for identifying the propagation path of plant-wide disturbances
    • Bauer M., Thornhill N.F. A practical method for identifying the propagation path of plant-wide disturbances. J. Process Control 2008, 18:707-719.
    • (2008) J. Process Control , vol.18 , pp. 707-719
    • Bauer, M.1    Thornhill, N.F.2
  • 10
    • 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
  • 11
    • 58249086340 scopus 로고    scopus 로고
    • Cause-and-effect analysis in chemical processes utilizing XML, plant connectivity and quantitative process history
    • Thambirajah J., Benabbas L., Bauer M., Thornhill N.F. Cause-and-effect analysis in chemical processes utilizing XML, plant connectivity and quantitative process history. Comput. Chem. Eng. 2009, 33:503-512.
    • (2009) Comput. Chem. Eng. , vol.33 , pp. 503-512
    • Thambirajah, J.1    Benabbas, L.2    Bauer, M.3    Thornhill, N.F.4
  • 13
    • 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
  • 14
    • 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
  • 15
    • 0031168001 scopus 로고    scopus 로고
    • Recursive exponentially weighted PLS and its applications to adaptive control and prediction
    • Dayal B.S., MacGregor J.F. Recursive exponentially weighted PLS and its applications to adaptive control and prediction. J. Process Control 1997, 7:169-179.
    • (1997) J. Process Control , vol.7 , pp. 169-179
    • Dayal, B.S.1    MacGregor, J.F.2
  • 16
    • 84899848188 scopus 로고    scopus 로고
    • Visualizing big data with compressed score plots: approach and research challenges
    • Camacho J. Visualizing big data with compressed score plots: approach and research challenges. Chemom. Intell. Lab. Syst. 2014, 135:110-125.
    • (2014) Chemom. Intell. Lab. Syst. , vol.135 , pp. 110-125
    • Camacho, J.1
  • 18
    • 0033659644 scopus 로고    scopus 로고
    • Confidence limits for contribution plots
    • Conlin A.K., Martin E.B., Morris A.J. Confidence limits for contribution plots. J. Chemom. 2000, 14:725-736.
    • (2000) J. Chemom. , vol.14 , pp. 725-736
    • Conlin, A.K.1    Martin, E.B.2    Morris, A.J.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.