Supervisory control of wastewater treatment plants by combining principal component analysis and fuzzy c-means clustering.
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[1] Gustaf Olsson,et al. Disturbance detection in wastewater treatment plants , 1998 .
[2] Stefano Marsili-Libelli,et al. Adaptive fuzzy pattern recognition in the anaerobic digestion process , 1996, Pattern Recognit. Lett..
[3] Bhupinder S. Dayal,et al. Recursive exponentially weighted PLS and its applications to adaptive control and prediction , 1997 .
[4] C Rosen,et al. Multivariate and multiscale monitoring of wastewater treatment operation. , 2001, Water research.
[5] Barry M. Wise,et al. The process chemometrics approach to process monitoring and fault detection , 1995 .
[6] I. Takács. A dynamic model of the clarification-thickening process , 1991 .
[7] W. Gujer,et al. Activated sludge model No. 3 , 1995 .
[8] Michael J. Piovoso,et al. PROCESS MONITORING, DATA ANALYSIS AND DATA INTERPRETATION , 1996 .
[9] P. Minkkinen,et al. A combined approach of partial least squares and fuzzy c-means clustering for the monitoring of an activated-sludge waste-water treatment plant , 1998 .
[10] Thomas E. Marlin,et al. Multivariate statistical monitoring of process operating performance , 1991 .
[11] Jie Zhang,et al. Process monitoring using non-linear statistical techniques , 1997 .
[12] Derek Bissell. Statistical Methods for SPC and TQM , 1994 .
[13] S. Wold. Exponentially weighted moving principal components analysis and projections to latent structures , 1994 .