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Volumn 137, Issue , 2013, Pages 340-348

Sequencing batch-reactor control using Gaussian-process models

Author keywords

Biological nitrogen removal; Pattern recognition; Real time control; Signal smoothing; Wastewater treatment

Indexed keywords

BIODEGRADATION; PATTERN RECOGNITION; PILOT PLANTS; REAL TIME CONTROL; REDOX REACTIONS; WASTEWATER TREATMENT;

EID: 84876430303     PISSN: 09608524     EISSN: 18732976     Source Type: Journal    
DOI: 10.1016/j.biortech.2013.03.138     Document Type: Article
Times cited : (15)

References (23)
  • 1
    • 0036803482 scopus 로고    scopus 로고
    • Model evaluation and optimisation of nutrient removal potential for sequencing batch reactors
    • Artan N., Wilderer P., Orhon D., Tasli R., Morgenroth E. Model evaluation and optimisation of nutrient removal potential for sequencing batch reactors. Water SA 2002, 28(4):423-432.
    • (2002) Water SA , vol.28 , Issue.4 , pp. 423-432
    • Artan, N.1    Wilderer, P.2    Orhon, D.3    Tasli, R.4    Morgenroth, E.5
  • 2
    • 34548046773 scopus 로고    scopus 로고
    • Application of Gaussian processes for black-box modelling of biosystems
    • Ažman K., Kocijan J. Application of Gaussian processes for black-box modelling of biosystems. ISA Transactions 2007, 46:443-457.
    • (2007) ISA Transactions , vol.46 , pp. 443-457
    • Ažman, K.1    Kocijan, J.2
  • 3
    • 84856563289 scopus 로고    scopus 로고
    • Respirometric evaluation and modelling of acetate utilization in sequencing batch reactor under pulse and continuous feeding
    • Ciggin A.S., Insel G., Majone M., Orhon D. Respirometric evaluation and modelling of acetate utilization in sequencing batch reactor under pulse and continuous feeding. Bioresource Technology 2012, 107:61-69.
    • (2012) Bioresource Technology , vol.107 , pp. 61-69
    • Ciggin, A.S.1    Insel, G.2    Majone, M.3    Orhon, D.4
  • 4
    • 0034237410 scopus 로고    scopus 로고
    • Optimization of a sequencing batch reactor for biological nitrogen removal
    • Coelho M.A.Z., Russo C., Araujo O.Q.F. Optimization of a sequencing batch reactor for biological nitrogen removal. Water Research 2000, 34(10):2809-2817.
    • (2000) Water Research , vol.34 , Issue.10 , pp. 2809-2817
    • Coelho, M.A.Z.1    Russo, C.2    Araujo, O.Q.F.3
  • 6
    • 67749120704 scopus 로고    scopus 로고
    • Computational intelligence techniques for supervision and diagnosis of biological wastewater treatment systems
    • Springer-Verlag, Berlin, Heidelberg, M. do Carmo Nicoletti, L.C. Jain (Eds.) Computational Intelligence Techniques for Bioprocess Modelling, Supervision and Control
    • Dias A.M.A., Ferreira E.C. Computational intelligence techniques for supervision and diagnosis of biological wastewater treatment systems. Studies in Computational Intelligence 2009, vol. 218:127-162. Springer-Verlag, Berlin, Heidelberg. M. do Carmo Nicoletti, L.C. Jain (Eds.).
    • (2009) Studies in Computational Intelligence , vol.218 , pp. 127-162
    • Dias, A.M.A.1    Ferreira, E.C.2
  • 7
    • 85015588674 scopus 로고    scopus 로고
    • A gentle introduction to Gaussian processes, report in two parts, Tech. Rep.
    • M. Ebden, A gentle introduction to Gaussian processes, report in two parts, Tech. Rep., University of Oxford, 2008. http://www.robots.ox.ac.uk/mebden/reports/GPtutorial.pdf.
    • (2008) University of Oxford
    • Ebden, M.1
  • 8
    • 58149194531 scopus 로고    scopus 로고
    • Shortcut nitrification-denitrification by real-time control strategies
    • Gao D., Peng Y., Li B., Liang H. Shortcut nitrification-denitrification by real-time control strategies. Bioresource Technology 2009, 100(7):2298-2300.
    • (2009) Bioresource Technology , vol.100 , Issue.7 , pp. 2298-2300
    • Gao, D.1    Peng, Y.2    Li, B.3    Liang, H.4
  • 9
    • 84862818458 scopus 로고    scopus 로고
    • Start up partial nitrification at low temperature with a real-time control strategy based on blower frequency and pH
    • Gu S., Wang S., Yang Q., Yang P., Peng Y. Start up partial nitrification at low temperature with a real-time control strategy based on blower frequency and pH. Bioresource Technology 2012, 112:34-41.
    • (2012) Bioresource Technology , vol.112 , pp. 34-41
    • Gu, S.1    Wang, S.2    Yang, Q.3    Yang, P.4    Peng, Y.5
  • 10
    • 77958175011 scopus 로고    scopus 로고
    • A fast predicting neural fuzzy model for on-line estimation of nutrient dynamics in an anoxic/oxic process
    • Huang M., Wan J., Ma Y., Li W., Sun X., Wan Y. A fast predicting neural fuzzy model for on-line estimation of nutrient dynamics in an anoxic/oxic process. Bioresource Technology 2010, 101:1642-1651.
    • (2010) Bioresource Technology , vol.101 , pp. 1642-1651
    • Huang, M.1    Wan, J.2    Ma, Y.3    Li, W.4    Sun, X.5    Wan, Y.6
  • 11
    • 62849123481 scopus 로고    scopus 로고
    • Optimization of biotechnological processes. The acetic acid fermentation. Part II: Practical identifiability analysis and parameter estimation
    • Jimenez-Hornero J.E., Santos-Duenas I.M., Garcia-Garcia I. Optimization of biotechnological processes. The acetic acid fermentation. Part II: Practical identifiability analysis and parameter estimation. Biochemical Engineering Journal 2009, 45:7-21.
    • (2009) Biochemical Engineering Journal , vol.45 , pp. 7-21
    • Jimenez-Hornero, J.E.1    Santos-Duenas, I.M.2    Garcia-Garcia, I.3
  • 12
    • 84867140467 scopus 로고    scopus 로고
    • Multi-criteria analyses of wastewater treatment bio-processes under an uncertainty and a multiplicity of steady states
    • Južnič-Žonta Živko, Kocijan J., Flotats X., Vrečko D. Multi-criteria analyses of wastewater treatment bio-processes under an uncertainty and a multiplicity of steady states. Water Research 2012, 46(18):6121-6131.
    • (2012) Water Research , vol.46 , Issue.18 , pp. 6121-6131
    • Živko1    Kocijan, J.-Z.2    Kocijan, J.3    Flotats, X.4    Vrečko, D.5
  • 13
    • 0141992123 scopus 로고    scopus 로고
    • Effectiveness of oxidation-reduction potential and pH as monitoring and control parameters for nitrogen removal in swine wastewater treatment by sequencing batch reactors
    • Kishida N., Kim J.-H., Chen M., Sasaki H., Sud R. Effectiveness of oxidation-reduction potential and pH as monitoring and control parameters for nitrogen removal in swine wastewater treatment by sequencing batch reactors. Journal of Bioscience and Bioengineering 2003, 96(3):285-290.
    • (2003) Journal of Bioscience and Bioengineering , vol.96 , Issue.3 , pp. 285-290
    • Kishida, N.1    Kim, J.-H.2    Chen, M.3    Sasaki, H.4    Sud, R.5
  • 14
    • 33344458202 scopus 로고    scopus 로고
    • Control of SBR switching by fuzzy pattern recognition
    • Marsili-Libelli S. Control of SBR switching by fuzzy pattern recognition. Water Research 2006, 40:1095-1107.
    • (2006) Water Research , vol.40 , pp. 1095-1107
    • Marsili-Libelli, S.1
  • 15
    • 41149167616 scopus 로고    scopus 로고
    • Intelligent monitoring system for long-term control of Sequencing Batch Reactors
    • Marsili-Libelli S., Spagni A., Susini R. Intelligent monitoring system for long-term control of Sequencing Batch Reactors. Water Science & Technology 2008, 57(3):431-438.
    • (2008) Water Science & Technology , vol.57 , Issue.3 , pp. 431-438
    • Marsili-Libelli, S.1    Spagni, A.2    Susini, R.3
  • 17
    • 0035047738 scopus 로고    scopus 로고
    • Experimental design of an optimal phase duration control strategy used in batch biological wastewater treatment
    • Pavšelj N., Hvala N., Kocijan J., Roš M., Šubelj M., Mušič G., Strmčnik S. Experimental design of an optimal phase duration control strategy used in batch biological wastewater treatment. ISA Transactions 2001, 40(1):41-56.
    • (2001) ISA Transactions , vol.40 , Issue.1 , pp. 41-56
    • Pavšelj, N.1    Hvala, N.2    Kocijan, J.3    Roš, M.4    Šubelj, M.5    Mušič, G.6    Strmčnik, S.7
  • 19
    • 38049117843 scopus 로고    scopus 로고
    • AI techniques for waste water treatment plant control case study: denitrification in a pilot-scale SBR
    • Springer-Verlag, B. Apolloni, R. Howlett, L.C. Jain (Eds.) Knowledge-based and intelligent information and engineering systems: KES 2007 - WIRN 2007 Part I
    • Sottara D., Luccarini L., Mello P. AI techniques for waste water treatment plant control case study: denitrification in a pilot-scale SBR. Lecture Notes in Artificial Intelligence 2007, vol. 4692:639-646. Springer-Verlag. B. Apolloni, R. Howlett, L.C. Jain (Eds.).
    • (2007) Lecture Notes in Artificial Intelligence , vol.4692 , pp. 639-646
    • Sottara, D.1    Luccarini, L.2    Mello, P.3
  • 20
    • 70350675092 scopus 로고    scopus 로고
    • A pool of experts to evaluate the evolution of biological processes in SBR plants
    • Springer-Verlag, E. Corchado, X. Wu, E. Oja, A. Herrero, B. Baruque (Eds.) Hybrid Artificial Intelligence Systems
    • Sottara D., Colombini G., Luccarini L., Mello P. A pool of experts to evaluate the evolution of biological processes in SBR plants. Lecture Notes in Artificial Intelligence 2009, vol. 5572:368-375. Springer-Verlag. E. Corchado, X. Wu, E. Oja, A. Herrero, B. Baruque (Eds.).
    • (2009) Lecture Notes in Artificial Intelligence , vol.5572 , pp. 368-375
    • Sottara, D.1    Colombini, G.2    Luccarini, L.3    Mello, P.4
  • 22
    • 78649683904 scopus 로고    scopus 로고
    • Biological nitrogen removal with a real-time control strategy using moving slope changes of pH(mV)- and ORP-time profiles
    • Won S.G., Ra C.S. Biological nitrogen removal with a real-time control strategy using moving slope changes of pH(mV)- and ORP-time profiles. Water Research 2011, 45:171-178.
    • (2011) Water Research , vol.45 , pp. 171-178
    • Won, S.G.1    Ra, C.S.2
  • 23
    • 77957142777 scopus 로고    scopus 로고
    • Progress in the development of control strategies for the SBR process
    • Yang Q., Gu S., Peng Y., Wang S., Liu X. Progress in the development of control strategies for the SBR process. Clean - Soil, Air, Water 2010, 38(8):732-749.
    • (2010) Clean - Soil, Air, Water , vol.38 , Issue.8 , pp. 732-749
    • Yang, Q.1    Gu, S.2    Peng, Y.3    Wang, S.4    Liu, X.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.