메뉴 건너뛰기




Volumn 19, Issue 11, 2006, Pages 1149-1162

Kernel-based fault diagnosis on mineral processing plants

Author keywords

Froth flotation; Modeling; Process control

Indexed keywords

COMPUTER SIMULATION; DATA REDUCTION; FROTH FLOTATION; MINERAL INDUSTRY; PROCESS CONTROL; STATISTICAL METHODS;

EID: 33747789519     PISSN: 08926875     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.mineng.2006.05.006     Document Type: Article
Times cited : (27)

References (35)
  • 1
    • 0032596236 scopus 로고    scopus 로고
    • Monitoring of metallurgical reactors by the use of topographic mapping of process data
    • Aldrich C., and Reuter M.A. Monitoring of metallurgical reactors by the use of topographic mapping of process data. Minerals Engineering 12 11 (1999) 1301-1312
    • (1999) Minerals Engineering , vol.12 , Issue.11 , pp. 1301-1312
    • Aldrich, C.1    Reuter, M.A.2
  • 3
    • 4243111776 scopus 로고    scopus 로고
    • Monitoring of metallurgical process plants by use of biplots
    • Aldrich C., Le Roux N.J., and Gardner S. Monitoring of metallurgical process plants by use of biplots. AIChE Journal 50 6 (2004) 2167-2186
    • (2004) AIChE Journal , vol.50 , Issue.6 , pp. 2167-2186
    • Aldrich, C.1    Le Roux, N.J.2    Gardner, S.3
  • 4
    • 0034296402 scopus 로고    scopus 로고
    • Generalized discriminant analysis using a kernel approach
    • Baudat G., and Anouar A. Generalized discriminant analysis using a kernel approach. Neural Computation 12 (2000) 2385-2404
    • (2000) Neural Computation , vol.12 , pp. 2385-2404
    • Baudat, G.1    Anouar, A.2
  • 5
    • 31844442219 scopus 로고    scopus 로고
    • Geometric methods for feature extraction and dimensional reduction - a guided tour
    • Maimon O., and Rokach L. (Eds), Springer
    • Burges C.J.C. Geometric methods for feature extraction and dimensional reduction - a guided tour. In: Maimon O., and Rokach L. (Eds). Data Mining and Knowledge Discovery Handbook (2005), Springer 59-92
    • (2005) Data Mining and Knowledge Discovery Handbook , pp. 59-92
    • Burges, C.J.C.1
  • 6
    • 10244238854 scopus 로고    scopus 로고
    • Fault identification for process monitoring using kernel principal component analysis
    • Cho J.-H., Lee J.-M., Choi S.W., Lee D., and Lee I.-B. Fault identification for process monitoring using kernel principal component analysis. Chemical Engineering Science 60 (2005) 279-288
    • (2005) Chemical Engineering Science , vol.60 , pp. 279-288
    • Cho, J.-H.1    Lee, J.-M.2    Choi, S.W.3    Lee, D.4    Lee, I.-B.5
  • 9
    • 33747767374 scopus 로고
    • Nonlinear principal component analysis - based on principal curves and neural networks
    • Dong D., and McAvoy T.J. Nonlinear principal component analysis - based on principal curves and neural networks. Computers and Chemical Engineering 16 (1992) 313-328
    • (1992) Computers and Chemical Engineering , vol.16 , pp. 313-328
    • Dong, D.1    McAvoy, T.J.2
  • 10
    • 0032049479 scopus 로고    scopus 로고
    • Joint diagnosis of process and sensor faults using principal control analysis
    • Dunia R., and Qin S.J. Joint diagnosis of process and sensor faults using principal control analysis. Control Engineering Practice 6 (1998) 457-469
    • (1998) Control Engineering Practice , vol.6 , pp. 457-469
    • Dunia, R.1    Qin, S.J.2
  • 11
    • 0000764772 scopus 로고
    • The use of multiple measurements in taxonomic problems
    • Fisher R.A. The use of multiple measurements in taxonomic problems. Annals of Eugenics 7 (1936) 179-188
    • (1936) Annals of Eugenics , vol.7 , pp. 179-188
    • Fisher, R.A.1
  • 13
    • 77956887176 scopus 로고
    • The biplot graphical display of matrices with application to principal component analysis
    • Gabriel K.R. The biplot graphical display of matrices with application to principal component analysis. Biometrika 58 (1971) 453-467
    • (1971) Biometrika , vol.58 , pp. 453-467
    • Gabriel, K.R.1
  • 14
    • 0004289071 scopus 로고    scopus 로고
    • Chapman & Hall, London. 0-412-71630-5
    • Gower J.C., and Hand D.J. Biplots (1996), Chapman & Hall, London. 0-412-71630-5
    • (1996) Biplots
    • Gower, J.C.1    Hand, D.J.2
  • 18
    • 21244505315 scopus 로고    scopus 로고
    • Monitoring of an industrial liquid-liquid extraction system with kernel-based methods
    • Jemwa G.T., and Aldrich C. Monitoring of an industrial liquid-liquid extraction system with kernel-based methods. Hydrometallurgy 78 (2005) 41-51
    • (2005) Hydrometallurgy , vol.78 , pp. 41-51
    • Jemwa, G.T.1    Aldrich, C.2
  • 22
    • 0033337021 scopus 로고    scopus 로고
    • Mika, S., Rätsch, G., Weston, J., Schölkopf, B., Mürial, K.-R. 1999. Fisher discriminant analysis with kernels. In: Hu, Y.-H., Larsen, E., Wilson, E., Douglas S. (Eds.), Proc. IEEE Neural Networks for Signal Processing Workshop, pp. 41-48.
  • 26
    • 0030214708 scopus 로고    scopus 로고
    • The interrelationship between surface froth characteristics and industrial flotation performance
    • Moolman D.W., Aldrich C., Schmitz G.P.J., and Van Deventer J.S.J. The interrelationship between surface froth characteristics and industrial flotation performance. Minerals Engineering 9 8 (1996) 837-854
    • (1996) Minerals Engineering , vol.9 , Issue.8 , pp. 837-854
    • Moolman, D.W.1    Aldrich, C.2    Schmitz, G.P.J.3    Van Deventer, J.S.J.4
  • 30
    • 0347243182 scopus 로고    scopus 로고
    • Nonlinear component analysis as a kernel eigenvalue problem
    • Schölkopf B., Smola A.J., and Müller K.-R. Nonlinear component analysis as a kernel eigenvalue problem. Neural Computation 10 (1998) 1299-1319
    • (1998) Neural Computation , vol.10 , pp. 1299-1319
    • Schölkopf, B.1    Smola, A.J.2    Müller, K.-R.3
  • 35
    • 0030530039 scopus 로고    scopus 로고
    • The process chemometrics approach to process monitoring and fault detection
    • Wise B.M., and Gallagher N.B. The process chemometrics approach to process monitoring and fault detection. Journal of Process Control 6 6 (1996) 329-348
    • (1996) Journal of Process Control , vol.6 , Issue.6 , pp. 329-348
    • Wise, B.M.1    Gallagher, N.B.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.