메뉴 건너뛰기




Volumn 22, Issue 1, 2014, Pages 360-368

Novel just-in-time learning-based soft sensor utilizing non-gaussian information

Author keywords

Just in time (JIT); Non Gaussian components; Non Gaussian regression (NGR); Similarity measure; Support Vector data description (SVDD)

Indexed keywords

APPLICATION STUDIES; INDUSTRIAL PROCESSS; JUST-IN-TIME; NON-GAUSSIAN; NON-GAUSSIAN INFORMATIONS; PREDICTIVE ACCURACY; SIMILARITY MEASURE; SUPPORT VECTOR DATA DESCRIPTION;

EID: 84891520527     PISSN: 10636536     EISSN: None     Source Type: Journal    
DOI: 10.1109/TCST.2013.2248155     Document Type: Article
Times cited : (68)

References (24)
  • 1
    • 35548968908 scopus 로고    scopus 로고
    • Data-based process monitoring, process control, and quality improvement: Recent developments and applications in steel industry
    • DOI 10.1016/j.compchemeng.2007.07.005, PII S0098135407001986, Process Systems Engineering: Contributions on the State-of-the-Art Selected extended Papers from ESCAPE '16/PSE 2006.
    • M. Kano and Y. Nakagawa, "Data-based monitoring, process control and quality improvement: Recent developments and applications in steel industry," Comput. Chem. Eng., vol. 32, nos. 1-2, pp. 12-24, Jan. 2008. (Pubitemid 350016270)
    • (2008) Computers and Chemical Engineering , vol.32 , Issue.1-2 , pp. 12-24
    • Kano, M.1    Nakagawa, Y.2
  • 2
    • 0034551618 scopus 로고    scopus 로고
    • Neural networks for the identification and control of blast furnace hot metal quality
    • Dec
    • V. R. Radhakrishnan and A. R. Moham, "Neural networks for the identification and control of blast furnace hot metal quality," J. Process Control, vol. 10, no. 6, pp. 509-524, Dec. 2000.
    • (2000) J. Process Control , vol.10 , Issue.6 , pp. 509-524
    • Radhakrishnan, V.R.1    Moham, A.R.2
  • 3
    • 78650953042 scopus 로고    scopus 로고
    • Mixture probabilistic PCR model for soft sensing of multimode processes
    • Jan.
    • Z. Q. Ge, F. R. Gao, and Z. H. Song, "Mixture probabilistic PCR model for soft sensing of multimode processes," Chem. Intell. Lab. Syst., vol. 105, no. 1, pp. 91-105, Jan. 2011.
    • (2011) Chem. Intell. Lab. Syst. , vol.105 , Issue.1 , pp. 91-105
    • Ge, Z.Q.1    Gao, F.R.2    Song, Z.H.3
  • 4
    • 60649090799 scopus 로고    scopus 로고
    • Moving average PLS soft sensor for online product quality estimation in an industrial batch polymerization process
    • Mar
    • P. Facco, F. Doplicher, F. Bezzo, and M. Barolo, "Moving average PLS soft sensor for online product quality estimation in an industrial batch polymerization process," J. Process Control, vol. 19, no. 3, pp. 520-529, Mar. 2009.
    • (2009) J. Process Control , vol.19 , Issue.3 , pp. 520-529
    • Facco, P.1    Doplicher, F.2    Bezzo, F.3    Barolo, M.4
  • 5
    • 77957599856 scopus 로고    scopus 로고
    • Total projection to latent structures for process monitoring
    • Aug
    • D. G. Zhou, G. Li, and S. J. Qin, "Total projection to latent structures for process monitoring," AIChE J., vol. 56, no. 1, pp. 168-178, Aug. 2009.
    • (2009) AIChE J. , vol.56 , Issue.1 , pp. 168-178
    • Zhou, D.G.1    Li, G.2    Qin, S.J.3
  • 6
    • 2342567014 scopus 로고    scopus 로고
    • Soft sensing modeling based on support vector machine and Bayesian model selection
    • Jul
    • W. W. Yan, H. H. Shao, and X. F. Wang, "Soft sensing modeling based on support vector machine and Bayesian model selection," Comput. Chem. Eng., vol. 28, no. 8, pp. 1489-1498, Jul. 2004.
    • (2004) Comput. Chem. Eng. , vol.28 , Issue.8 , pp. 1489-1498
    • Yan, W.W.1    Shao, H.H.2    Wang, X.F.3
  • 7
    • 0344222193 scopus 로고    scopus 로고
    • Adaptive batch monitoring using hierarchical PCA
    • DOI 10.1016/S0169-7439(98)00024-0, PII S0169743998000240
    • S. Rännar, J. F. MacGregor, and S. Wold, "Adaptive batch monitoring using hierarchical PCA," Chem. Intell. Lab. Syst., vol. 41, no. 1, pp. 73-81, Jul. 1998. (Pubitemid 28337890)
    • (1998) Chemometrics and Intelligent Laboratory Systems , vol.41 , Issue.1 , pp. 73-81
    • Rannar, S.1    MacGregor, J.F.2    Wold, S.3
  • 8
    • 0034301495 scopus 로고    scopus 로고
    • Recursive PCA for adaptive process monitoring
    • Oct
    • W. Li, H. H. Yue, S. Valle-Cervantes, and S. J. Qin, "Recursive PCA for adaptive process monitoring," J. Process Control, vol. 10, no. 5, pp. 471-486, Oct. 2000.
    • (2000) J. Process Control , vol.10 , Issue.5 , pp. 471-486
    • Li, W.1    Yue, H.H.2    Valle-Cervantes, S.3    Qin, S.J.4
  • 9
    • 0032044750 scopus 로고    scopus 로고
    • Recursive PLS algorithms for adaptive data modeling
    • PII S0098135497002627
    • S. J. Qin, "Recursive PLS algorithms for adaptive data modeling," Comput. Chem. Eng., vol. 22, no. 4-5, pp. 503-514, 1998. (Pubitemid 128714151)
    • (1998) Computers and Chemical Engineering , vol.22 , Issue.4-5 , pp. 503-514
    • Qin, S.J.1
  • 10
    • 2942558590 scopus 로고    scopus 로고
    • A new data-based methodology for nonlinear process modeling
    • DOI 10.1016/j.ces.2004.04.020, PII S0009250904002453
    • C. Cheng and M. S. Chiu, "A new data-based methodology for nonlinear process modeling," Chem. Eng. Sci., vol. 59, no. 13, pp. 2801-2810, Jul. 2004. (Pubitemid 38763544)
    • (2004) Chemical Engineering Science , vol.59 , Issue.13 , pp. 2801-2810
    • Cheng, C.1    Chiu, M.-S.2
  • 11
    • 14844303316 scopus 로고    scopus 로고
    • Nonlinear process monitoring using JITL-PCA
    • DOI 10.1016/j.chemolab.2004.08.003
    • C. Cheng and M. S. Chiu, "Nonlinear process monitoring using JITLPCA," Chem. Intell. Lab. Syst, vol. 76, no. 1, pp. 1-13, 2005. (Pubitemid 40342905)
    • (2005) Chemometrics and Intelligent Laboratory Systems , vol.76 , Issue.1 , pp. 1-13
    • Cheng, C.1    Chiu, M.-S.2
  • 12
    • 77749268171 scopus 로고    scopus 로고
    • Nearest neighbour method for the automatic maintenance of multivariate statistical soft sensors in batch processing
    • Feb
    • P. Facco, F. Bezzo, and M. Barolo, "Nearest neighbour method for the automatic maintenance of multivariate statistical soft sensors in batch processing," Ind. Eng. Chem. Res., vol. 49, no. 5, pp. 2336-2347, Feb. 2010.
    • (2010) Ind. Eng. Chem. Res. , vol.49 , Issue.5 , pp. 2336-2347
    • Facco, P.1    Bezzo, F.2    Barolo, M.3
  • 13
    • 78650524009 scopus 로고    scopus 로고
    • A comparative study of just-in-time-learning based methods for online soft sensor modeling
    • Dec
    • Z. Q. Ge and Z. H. Song, "A comparative study of just-in-time-learning based methods for online soft sensor modeling," Chem. Intell. Lab. Syst, vol. 104, no. 2, pp. 306-317, Dec. 2010.
    • (2010) Chem. Intell. Lab. Syst , vol.104 , Issue.2 , pp. 306-317
    • Ge, Z.Q.1    Song, Z.H.2
  • 14
    • 68049143320 scopus 로고    scopus 로고
    • Softsensor development using correlation-based just-in-time modeling
    • Jul
    • K. Fujiwara, M. Kano, S. Hasebe, and A. Takinami, "Softsensor development using correlation-based just-in-time modeling," AIChE J., vol. 55, no. 7, pp. 1754-1765, Jul. 2009.
    • (2009) AIChE J. , vol.55 , Issue.7 , pp. 1754-1765
    • Fujiwara, K.1    Kano, M.2    Hasebe, S.3    Takinami, A.4
  • 16
    • 33749473097 scopus 로고    scopus 로고
    • Fault detection and diagnosis based on modified independent component analysis
    • J. M. Lee, S. J. Qin, and I. B. Lee, "Fault detection and diagnosis based on modified independent component analysis," AIChE J., vol. 55, pp. 3501-3514, 2008.
    • (2008) AIChE J. , vol.55 , pp. 3501-3514
    • Lee, J.M.1    Qin, S.J.2    Lee, I.B.3
  • 17
    • 74549172041 scopus 로고    scopus 로고
    • A process monitoring scheme based on independent component analysis and adjusted outliers
    • C. C. Hsu, L. S. Chen, and C. H. Liu, "A process monitoring scheme based on independent component analysis and adjusted outliers," Int. J. Prod. Res., vol. 48, no. 6, pp. 1727-1743, 2010.
    • (2010) Int. J. Prod. Res. , vol.48 , Issue.6 , pp. 1727-1743
    • Hsu, C.C.1    Chen, L.S.2    Liu, C.H.3
  • 18
    • 1342285571 scopus 로고    scopus 로고
    • Statistical process monitoring with independent component analysis
    • Aug
    • J. M. Lee, C. K. Yoo, and I. B. Lee, "Statistical process monitoring with independent component analysis," J. Process Control, vol. 14, no. 5, pp. 467-485, Aug. 2004.
    • (2004) J. Process Control , vol.14 , Issue.5 , pp. 467-485
    • Lee, J.M.1    Yoo, C.K.2    Lee, I.B.3
  • 19
    • 1142268899 scopus 로고    scopus 로고
    • Regularised kernel density estimation for clustered process data
    • DOI 10.1016/S0967-0661(03)00083-2
    • Q. Chen, U. Kruger, and A. T. Leung, "Regularised kernel density estimation for clustered process data," Control Eng. Pract., vol. 12, no. 3, pp. 267-274, Mar. 2004. (Pubitemid 38204553)
    • (2004) Control Engineering Practice , vol.12 , Issue.3 , pp. 267-274
    • Chen, Q.1    Kruger, U.2    Leung, A.T.Y.3
  • 20
    • 52649119206 scopus 로고    scopus 로고
    • Statistical-based monitoring of multivariate non-Gaussian systems
    • Sep
    • X. Q. Liu, L. Xie, U. Kruger, and T. Littler, "Statistical-based monitoring of multivariate non-Gaussian systems," AIChE J., vol. 54, no. 9, pp. 2379-2391, Sep. 2008.
    • (2008) AIChE J. , vol.54 , Issue.9 , pp. 2379-2391
    • Liu, X.Q.1    Xie, L.2    Kruger, U.3    Littler, T.4
  • 21
    • 0033220728 scopus 로고    scopus 로고
    • Support vector data description
    • D. M. J. Tax and R. P. W. Duin, "Support vector data description," Pattern Recognit. Lett., vol. 20, pp. 1191-1199, 1999.
    • (1999) Pattern Recognit. Lett. , vol.20 , pp. 1191-1199
    • Tax, D.M.J.1    Duin, R.P.W.2
  • 22
    • 84856098926 scopus 로고    scopus 로고
    • A non-Gaussian regression algorithm based on mutual information maximization
    • Feb
    • J. S. Zeng, L. Xie, U. Kruger, and C. H. Gao, "A non-Gaussian regression algorithm based on mutual information maximization," Chem. Intell. Lab. Syst, vol. 111, no. 1, pp. 1-19, Feb. 2012.
    • (2012) Chem. Intell. Lab. Syst , vol.111 , Issue.1 , pp. 1-19
    • Zeng, J.S.1    Xie, L.2    Kruger, U.3    Gao, C.H.4
  • 23
    • 0346307721 scopus 로고    scopus 로고
    • A Fast Fixed-Point Algorithm for Independent Component Analysis
    • A. Hyvärinen and E. Oja, "Fast fixed-point algorithm for independent component analysis," Neural Comput., vol. 9, no. 7, pp. 1483-1492, Oct. 1997. (Pubitemid 127462801)
    • (1997) Neural Computation , vol.9 , Issue.7 , pp. 1483-1492
    • Hyvarinen, A.1    Oja, E.2
  • 24
    • 0347379723 scopus 로고    scopus 로고
    • Soft analyzers for a sulfur recovery unit
    • DOI 10.1016/S0967-0661(03)00079-0
    • L. Fortuna, A. Rizzo, M. Sinatra, and M. G. Xibilia, "Soft analyzers for a sulfur recovery unit," Control Eng. Pract., vol. 11, no. 12, pp. 1491-1500, 2003. (Pubitemid 37551617)
    • (2003) Control Engineering Practice , vol.11 , Issue.12 , pp. 1491-1500
    • Fortuna, L.1    Rizzo, A.2    Sinatra, M.3    Xibilia, M.G.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.