메뉴 건너뛰기




Volumn 96, Issue 4, 2007, Pages 687-701

Multi-model statistical process monitoring and diagnosis of a sequencing batch reactor

Author keywords

Batch monitoring and supervision; Biological system; Multiple operational modes; Probabilistic modeling; Sequencing batch reactor (SBR); Wastewater treatment

Indexed keywords

BATCH REACTORS; BIOLOGICAL SYSTEMS; DIAGNOSIS; PRINCIPAL COMPONENT ANALYSIS; PROBABILISTIC LOGICS; WASTEWATER TREATMENT;

EID: 33947154689     PISSN: 00063592     EISSN: 10970290     Source Type: Journal    
DOI: 10.1002/bit.21220     Document Type: Article
Times cited : (81)

References (19)
  • 2
    • 2942752274 scopus 로고    scopus 로고
    • Advanced monitoring and supervision of biological treatment of complex dairy effluents in a full-scale plant
    • Carrasco EF, Omil F, Garrido JM, Arrojo B, Mendez R. 2004. Advanced monitoring and supervision of biological treatment of complex dairy effluents in a full-scale plant. Biotechnol Prog 20:992-997.
    • (2004) Biotechnol Prog , vol.20 , pp. 992-997
    • Carrasco, E.F.1    Omil, F.2    Garrido, J.M.3    Arrojo, B.4    Mendez, R.5
  • 3
    • 0029663050 scopus 로고    scopus 로고
    • Sequencing batch reactor system for nutrient removal: ORP and pH profiles
    • Chang CH, Hao OJ. 1996. Sequencing batch reactor system for nutrient removal: ORP and pH profiles. J Chem Tech Biotechnol 67:27-38.
    • (1996) J Chem Tech Biotechnol , vol.67 , pp. 27-38
    • Chang, C.H.1    Hao, O.J.2
  • 4
    • 0032898793 scopus 로고    scopus 로고
    • Mixture principal component analysis models for process monitoring
    • Chen J, Liu J. 1999. Mixture principal component analysis models for process monitoring. Ind Eng Chem Res 38:1478-1488.
    • (1999) Ind Eng Chem Res , vol.38 , pp. 1478-1488
    • Chen, J.1    Liu, J.2
  • 5
    • 2342521341 scopus 로고    scopus 로고
    • Process monitoring using a Gaussian mixture model via principal component analysis and discriminant analysis
    • Choi SW, Park JH, Lee IB. 2003. Process monitoring using a Gaussian mixture model via principal component analysis and discriminant analysis. Comp Chem Eng 28:1377-1387.
    • (2003) Comp Chem Eng , vol.28 , pp. 1377-1387
    • Choi, S.W.1    Park, J.H.2    Lee, I.B.3
  • 7
    • 0037457689 scopus 로고    scopus 로고
    • Monitoring of a sequencing batch reactor using adaptive multiblock principal component analysis
    • Lee DS, Vanrolleghem PA. 2003. Monitoring of a sequencing batch reactor using adaptive multiblock principal component analysis. Biotechnol Bioeng 82:489-497.
    • (2003) Biotechnol Bioeng , vol.82 , pp. 489-497
    • Lee, D.S.1    Vanrolleghem, P.A.2
  • 9
    • 0028483476 scopus 로고
    • Monitoring batch processes using multiway principal component analysis
    • Nomikos P, MacGregor JF. 1994. Monitoring batch processes using multiway principal component analysis. AIChE J 40(8):1361-1375.
    • (1994) AIChE J , vol.40 , Issue.8 , pp. 1361-1375
    • Nomikos, P.1    MacGregor, J.F.2
  • 10
    • 0029252734 scopus 로고
    • Multivariate SPC charts for monitoring batch processes
    • Nomikos P, MacGregor JF. 1995. Multivariate SPC charts for monitoring batch processes. Technometrics 37:41-59.
    • (1995) Technometrics , vol.37 , pp. 41-59
    • Nomikos, P.1    MacGregor, J.F.2
  • 11
    • 0034908862 scopus 로고    scopus 로고
    • Multivariate and multiscale monitoring of wastewater treatment operation
    • Rosen C, Lennox JA. 2001. Multivariate and multiscale monitoring of wastewater treatment operation. Wat Res 35(14):3402-3410.
    • (2001) Wat Res , vol.35 , Issue.14 , pp. 3402-3410
    • Rosen, C.1    Lennox, J.A.2
  • 12
    • 0043011399 scopus 로고    scopus 로고
    • Monitoring and controlling the dissolved oxygen (DO) concentration within the high aspect ratio vessel (HARV)
    • Saarinen MA, Reece JS, Arnold MA, Murhammer DW. 2003. Monitoring and controlling the dissolved oxygen (DO) concentration within the high aspect ratio vessel (HARV). Biotechnol Prog 19(4):1335-1341.
    • (2003) Biotechnol Prog , vol.19 , Issue.4 , pp. 1335-1341
    • Saarinen, M.A.1    Reece, J.S.2    Arnold, M.A.3    Murhammer, D.W.4
  • 13
    • 11044229103 scopus 로고    scopus 로고
    • Optimal but robust N and P removal in SBR's: A model-based systematic study of operation scenarios
    • Sin G, Insel G, Lee DS, Vanrolleghem PA. 2004. Optimal but robust N and P removal in SBR's: A model-based systematic study of operation scenarios. Wat Sci Tech 50(10):97-105.
    • (2004) Wat Sci Tech , vol.50 , Issue.10 , pp. 97-105
    • Sin, G.1    Insel, G.2    Lee, D.S.3    Vanrolleghem, P.A.4
  • 14
    • 33746523518 scopus 로고    scopus 로고
    • Evaluation of the impacts of model-based operation of SBRs on activated sludge microbial community
    • Sin G, Govoreanu R, Boon N, Schelstraete G, Vanrolleghem PA. 2005. Evaluation of the impacts of model-based operation of SBRs on activated sludge microbial community. Wat Sci Tech 54(1):157-166.
    • (2005) Wat Sci Tech , vol.54 , Issue.1 , pp. 157-166
    • Sin, G.1    Govoreanu, R.2    Boon, N.3    Schelstraete, G.4    Vanrolleghem, P.A.5
  • 15
    • 0004191977 scopus 로고    scopus 로고
    • Mixtures of probabilistic principal component analysers
    • Technical report, Neural Computing Research Group. Aston University, UK
    • Tipping ME, Bishop CM. 1997. Mixtures of probabilistic principal component analysers. Technical report, Neural Computing Research Group. Aston University, UK.
    • (1997)
    • Tipping, M.E.1    Bishop, C.M.2
  • 16
    • 0030530039 scopus 로고    scopus 로고
    • The Process chemometrics approach to process monitoring and fault detection
    • Wise BM, Gallagher NB. 1996. The Process chemometrics approach to process monitoring and fault detection. J Process Control 6:329-348.
    • (1996) J Process Control , vol.6 , pp. 329-348
    • Wise, B.M.1    Gallagher, N.B.2
  • 17
    • 0038119635 scopus 로고    scopus 로고
    • On-line monitoring of cell growth and cytotoxicity using electric cell-substrate impedance sensing (ECIS)
    • Xiao C, Luong JHT. 2003. On-line monitoring of cell growth and cytotoxicity using electric cell-substrate impedance sensing (ECIS). Biotechnol Prog 19(3):1000-1005.
    • (2003) Biotechnol Prog , vol.19 , Issue.3 , pp. 1000-1005
    • Xiao, C.1    Luong, J.H.T.2
  • 18
    • 0141831911 scopus 로고    scopus 로고
    • Nonlinear modeling and adaptive monitoring with fuzzy and multivariate statistical method in a biological wastewater treatment plant
    • Yoo CK, Vanrolleghem PA, Lee I. 2003. Nonlinear modeling and adaptive monitoring with fuzzy and multivariate statistical method in a biological wastewater treatment plant. J Biotech 105(1-2):135-163.
    • (2003) J Biotech , vol.105 , Issue.1-2 , pp. 135-163
    • Yoo, C.K.1    Vanrolleghem, P.A.2    Lee, I.3
  • 19
    • 1542408546 scopus 로고    scopus 로고
    • Application of multiway ICA for on-line monitoring of a sequencing batch reactor
    • Yoo CK, Lee DS, Vanrolleghem PA. 2004. Application of multiway ICA for on-line monitoring of a sequencing batch reactor. Wat Res 38(7):1715-1732.
    • (2004) Wat Res , vol.38 , Issue.7 , pp. 1715-1732
    • Yoo, C.K.1    Lee, D.S.2    Vanrolleghem, P.A.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.