메뉴 건너뛰기




Volumn 45, Issue 6, 2013, Pages 630-643

Objective-oriented optimal sensor allocation strategy for process monitoring and diagnosis by multivariate analysis in a Bayesian network

Author keywords

Bayesian network; diagnosis ranking; multiple mean shifts; optimal sensor allocation; partial observation

Indexed keywords

AVERAGE RUN LENGTHS; HOT FORMING PROCESS; MEAN SHIFT; MEASUREMENT STRATEGIES; MONITORING AND DIAGNOSIS; MULTI VARIATE ANALYSIS; OPTIMAL SENSOR; PARTIAL OBSERVATION;

EID: 84875398224     PISSN: 0740817X     EISSN: 15458830     Source Type: Journal    
DOI: 10.1080/0740817X.2012.725505     Document Type: Article
Times cited : (34)

References (32)
  • 1
    • 0032118892 scopus 로고    scopus 로고
    • Multiscale PCA with application to multivariate statistical process monitoring
    • Bakshi, B. R. 1998. Multiscale PCA with application to multivariate statistical process monitoring. AIChE Journal, 44 (7): 1596-1610.
    • (1998) AIChE Journal , vol.44 , Issue.7 , pp. 1596-1610
    • Bakshi, B.R.1
  • 4
    • 0041881582 scopus 로고    scopus 로고
    • Optimal sensor distribution for variation diagnosis in multistation assembly processes
    • Ding, Y., Kim, P., Ceglarek, D., and, Jin, J. 2003. Optimal sensor distribution for variation diagnosis in multistation assembly processes. IEEE Transactions on Robotics and Automation, 19: 543-556.
    • (2003) IEEE Transactions on Robotics and Automation , vol.19 , pp. 543-556
    • Ding, Y.1    Kim, P.2    Ceglarek, D.3    Jin, J.4
  • 6
    • 0034149007 scopus 로고    scopus 로고
    • Sensor economy principles and selection procedures
    • Edan, Y., and, Nof, S. Y. 2000. Sensor economy principles and selection procedures. IIE Transactions, 32 (3): 195-203.
    • (2000) IIE Transactions , vol.32 , Issue.3 , pp. 195-203
    • Edan, Y.1    Nof, S.Y.2
  • 7
    • 0002370418 scopus 로고
    • A tutorial on learning with Bayesian networks
    • Edited by: Jordan, M. Cambridge, MA: MIT Press. 2
    • Heckerman, D. 1995. " A tutorial on learning with Bayesian networks ". In Learning in Graphical Models, Edited by: Jordan, M. Cambridge, MA: MIT Press. 2
    • (1995) Learning in Graphical Models
    • Heckerman, D.1
  • 8
    • 84946633097 scopus 로고
    • Selection of the best subset in regression analysis
    • Hocking, R. R., and, Leslie, R. N. 1967. Selection of the best subset in regression analysis. Technometrics, 9 (4): 531-540.
    • (1967) Technometrics , vol.9 , Issue.4 , pp. 531-540
    • Hocking, R.R.1    Leslie, R.N.2
  • 9
    • 0002199780 scopus 로고
    • Multivariate quality control
    • Edited by: Eisenhart, C. Hastay, M. and Wallis, W. A. New York, NY: McGraw-Hill
    • Hotelling, H. 1947. " Multivariate quality control ". In Techniques of Statistical Analysis, Edited by: Eisenhart, C., Hastay, M. and Wallis, W. A. 111-184. New York, NY: McGraw-Hill.
    • (1947) Techniques of Statistical Analysis , pp. 111-184
    • Hotelling, H.1
  • 10
    • 0042661921 scopus 로고    scopus 로고
    • Sensor optimization for fault diagnosis in multi-fixture assembly systems with distributed sensing
    • Khan, A., and, Ceglarek, D. 2000. Sensor optimization for fault diagnosis in multi-fixture assembly systems with distributed sensing. ASME Journal of Manufacturing Science and Engineering, 122 (1): 215-226.
    • (2000) ASME Journal of Manufacturing Science and Engineering , vol.122 , Issue.1 , pp. 215-226
    • Khan, A.1    Ceglarek, D.2
  • 11
    • 0032204345 scopus 로고    scopus 로고
    • Sensor location optimization for fault diagnosis in multi-fixture assembly systems
    • Khan, A., Ceglarek, D., and, Ni, J. 1998. Sensor location optimization for fault diagnosis in multi-fixture assembly systems. ASME Journal of Manufacturing Science and Engineering, 120 (4): 781-791.
    • (1998) ASME Journal of Manufacturing Science and Engineering , vol.120 , Issue.4 , pp. 781-791
    • Khan, A.1    Ceglarek, D.2    Ni, J.3
  • 13
    • 0002480085 scopus 로고
    • Graphical models for associations between variables, some of which are qualitative and some quantitative
    • Lauritzen, S. L., and, Wermuth, N. 1989. Graphical models for associations between variables, some of which are qualitative and some quantitative. Annals of Statistics, 17 (1): 31-57.
    • (1989) Annals of Statistics , vol.17 , Issue.1 , pp. 31-57
    • Lauritzen, S.L.1    Wermuth, N.2
  • 14
    • 33846300980 scopus 로고    scopus 로고
    • Manufacturing system design to improve quality buy rate: An automotive paint shop application study
    • Li, J., Blumenfeld, D. E., and, Marin, S. P. 2007. Manufacturing system design to improve quality buy rate: an automotive paint shop application study. IEEE Transactions on Automation Science and Engineering, 4 (1): 75-79.
    • (2007) IEEE Transactions on Automation Science and Engineering , vol.4 , Issue.1 , pp. 75-79
    • Li, J.1    Blumenfeld, D.E.2    Marin, S.P.3
  • 15
    • 38049033423 scopus 로고    scopus 로고
    • Production system design for quality robustness
    • Li, J., Blumenfeld, D. E., and, Marin, S. P. 2008. Production system design for quality robustness. IIE Transactions, 40 (3): 162-176.
    • (2008) IIE Transactions , vol.40 , Issue.3 , pp. 162-176
    • Li, J.1    Blumenfeld, D.E.2    Marin, S.P.3
  • 16
    • 77952910609 scopus 로고    scopus 로고
    • Optimal sensor allocation by integrating causal models and set-covering algorithms
    • Li, J., and, Jin, J. 2010. Optimal sensor allocation by integrating causal models and set-covering algorithms. IIE Transactions, 42 (8): 564-576.
    • (2010) IIE Transactions , vol.42 , Issue.8 , pp. 564-576
    • Li, J.1    Jin, J.2
  • 17
    • 39449085018 scopus 로고    scopus 로고
    • 2 decomposition for multivariate process monitoring and diagnosis
    • 2 decomposition for multivariate process monitoring and diagnosis. Journal of Quality Technology, 40 (1): 46-58.
    • (2008) Journal of Quality Technology , vol.40 , Issue.1 , pp. 46-58
    • Li, J.1    Jin, J.2    Shi, J.3
  • 19
    • 33947691619 scopus 로고    scopus 로고
    • Knowledge discovery from observational data for process control using causal Bayesian networks
    • Li, J., and, Shi, J. 2007. Knowledge discovery from observational data for process control using causal Bayesian networks. IIE Transactions, 39 (6): 681-690.
    • (2007) IIE Transactions , vol.39 , Issue.6 , pp. 681-690
    • Li, J.1    Shi, J.2
  • 20
    • 23844551767 scopus 로고    scopus 로고
    • Optimal coordinate sensor placements for estimating mean and variance components of variation sources
    • Liu, C., Ding, Y., and, Chen, Y. 2005. Optimal coordinate sensor placements for estimating mean and variance components of variation sources. IIE Transactions, 37 (9): 877-889.
    • (2005) IIE Transactions , vol.37 , Issue.9 , pp. 877-889
    • Liu, C.1    Ding, Y.2    Chen, Y.3
  • 28
    • 42949143535 scopus 로고    scopus 로고
    • Fault detection and identification with a new feature selection based on mutual information
    • Verron, S., Tiplica, T., and, Kobi, A. 2008. Fault detection and identification with a new feature selection based on mutual information. Journal of Process Control, 18 (5): 479-490.
    • (2008) Journal of Process Control , vol.18 , Issue.5 , pp. 479-490
    • Verron, S.1    Tiplica, T.2    Kobi, A.3
  • 29
    • 68249091064 scopus 로고    scopus 로고
    • High-dimensional process monitoring and fault isolation via variable selection
    • Wang, K., and, Jiang, W. 2009. High-dimensional process monitoring and fault isolation via variable selection. Journal of Quality Technology, 41 (3): 247-258.
    • (2009) Journal of Quality Technology , vol.41 , Issue.3 , pp. 247-258
    • Wang, K.1    Jiang, W.2
  • 31
    • 0022111936 scopus 로고
    • Multivariate CUSUM quality control procedures
    • Woodall, W. H., and, Ncube, M. M. 1985. Multivariate CUSUM quality control procedures. Technometrics, 27 (3): 285-292.
    • (1985) Technometrics , vol.27 , Issue.3 , pp. 285-292
    • Woodall, W.H.1    Ncube, M.M.2
  • 32
    • 0345098409 scopus 로고    scopus 로고
    • Diagnosability study of multistage manufacturing processes based on linear mixed-effects models
    • Zhou, S., Ding, Y., Chen, Y., and, Shi, J. 2003. Diagnosability study of multistage manufacturing processes based on linear mixed-effects models. Technometrics, 45 (4): 312-325.
    • (2003) Technometrics , vol.45 , Issue.4 , pp. 312-325
    • Zhou, S.1    Ding, Y.2    Chen, Y.3    Shi, J.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.