Identification of process operating state with operational map in municipal wastewater treatment plant

Journal of Environmental Management

Volumn 90, Issue 2, 2009, Pages 772-778

  Moon, T S ^a   Kim, Y J ^a   Kim, J R ^b   Cha, J H ^a   Kim, D H ^a   Kim, C W ^a  

^a Pusan National University   (South Korea)

^b Pangaea 21 Ltd   (South Korea)

Author keywords

Diagnosis; Discriminant analysis; K means clustering; Operational map; PCA; Wastewater treatment

Indexed keywords

DISCRIMINANT ANALYSIS; MULTIVARIANT ANALYSIS; PRINCIPAL COMPONENT ANALYSIS; RECLAMATION; SEWAGE PUMPING PLANTS; TOXICITY; WATER TREATMENT PLANTS;

CLASSIFIEDS; DATA SET; DISCRIMINANT FUNCTIONS; K-MEANS++ CLUSTERING; MULTIVARIATE STATISTICAL ANALYSIS; MUNICIPAL WASTEWATER TREATMENT PLANTS; OBJECTIVE DIAGNOSIS; OPERATING STATE; OPERATIONAL MAP; PRINCIPAL-COMPONENT ANALYSIS;

WASTEWATER TREATMENT;

CLUSTER ANALYSIS; DATA SET; DISCRIMINANT ANALYSIS; ESTIMATION METHOD; MULTIVARIATE ANALYSIS; PRINCIPAL COMPONENT ANALYSIS; TREND ANALYSIS; WASTE TREATMENT; WASTEWATER;

ARTICLE; CLUSTER ANALYSIS; DATA ANALYSIS; DISCRIMINANT ANALYSIS; MULTIVARIATE ANALYSIS; PRINCIPAL COMPONENT ANALYSIS; PROCESS MONITORING; WASTE WATER MANAGEMENT; WASTE WATER TREATMENT PLANT;

EID: 56249119537     PISSN: 03014797     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jenvman.2008.01.008     Document Type: Article

References (15)

1. Albazzaz H., Wang X.Z., and Marhoon F. Multidimensional visualisation for process historical data analysis: a comparative study with multivariate statistical process control. Journal of Process Control 15 (2005) 285-294
2. Choi S.W., and Lee I.B. Nonlinear dynamic process monitoring based on dynamic kernel PCA. Chemical Engineering Science 59 (2004) 5897-5908
3. Comas J., Rodríguez-Roda I., Poch M., Gernaey K.V., Rosen C., and Jepsson U. Demonstration of a tool for automatic learning and re-use of knowledge in the activated sludge process. Water Science & Technology 53 4 (2006) 303-311
4. Gibert K., Sànchez-Marré M., and Rodríguez-Roda I. GESCONDA: an intelligent data analysis system for knowledge discovery and management in environmental databases. Environmental Modelling & Software 21 (2006) 115-120
5. Grieu S., Traoré A., Polit M., and Colprim J. Prediction of parameters characterizing the state of a pollution removal biologic process. Engineering Application of Artificial Intelligence 18 (2005) 559-573
6. Kim, Y.J., 2006. Development of Inference Models and Diagnosis Algorithms Using Intelligent Methods for Sequencing Batch Reactor Operation. Ph.D. thesis, Pusan National University of Korea.
7. Kim Y.J., Bae H., Poo K.M., Ko J.H., Kim B.G., Park T.J., and Kim C.W. Equipment fault diagnosis system of sequencing batch reactors using rule-based fuzzy inference and on-line sensing data. Water Science & Technology 53 4-5 (2006) 383-392
8. Kim J.R., Ko J.H., Im J.H., Lee S.H., Kim S.H., Kim C.W., and Park T.J. Forecasting influent flow rate and composition with occasional data for supervisory management system by time-series model. Water Science & Technology 53 4-5 (2006) 185-192
9. PT) concept and time delay model. Water Science & Technology 53 4-5 (2006) 367-373
10. Krüger, 2004. SMAC SMArt Control of Wastewater Systems Deliverable No. 18. Summary of Implementations. Report EV K1-CT-2000-00056. Krüger, Denmark.
11. Lee J.M., Yoo C.K., and Lee I.B. Statistical process monitoring with independent component analysis. Journal of Process Control 14 (2004) 467-485
12. Poo K.M., Im J.H., Jun B.H., Kim J.R., Hwang I.S., Choi K.S., and Kim C.W. Full-cyclic control strategy of SBR for nitrogen rmoval in strong wastewater using common sensors. Water Science & Technology 53 4-5 (2006) 151-160
13. Rosen C., and Olsson G. Disturbance detection in wastewater treatment plants. Water Science & Technology 37 12 (1998) 197-205
14. Rosen C., and Lennox J.A. Multivariate and multiscale monitoring of wastewater treatment operation. Water Research 35 14 (2001) 3402-3410
15. Yoo C.K., Vanrolleghem P.A., and Lee I.B. Nonlinear modeling and adaptive monitoring with fuzzy and multivariate statistical methods in biological wastewater treatment plants. Journal of Biotechnology 105 (2003) 135-163