Title :
Operating Condition Recognition of Pre-denitrification Bioprocess Using Robust EMPCA and FCM
Author :
Zhao, Lijie ; Chai, Tianyou ; Cong, Qiumei
Author_Institution :
Shenyang Inst. of Chem. Eng., Northeastern Univ., Shenyang
Abstract :
Poor-quality data has become a serous problem to the model, control and optimization. An improved robust EMPCA integrated with fuzzy c-means (FCM) clustering is used to classify the operational state in the activated sludge process. The method is demonstrated by IWA simulation benchmark. The experimental results show the proposed the method can accurately classify the operational state of the activated sludge process in the PC-space after outliers and missing data are effectively detect, rectified
Keywords :
expectation-maximisation algorithm; fuzzy set theory; optimisation; pattern clustering; principal component analysis; sludge treatment; wastewater treatment; activated sludge process; fuzzy c-means clustering; operating condition recognition; optimization; predenitrification bioprocess; robust EMPCA; Automatic control; Automation; Chemicals; Effluents; Fluctuations; Noise robustness; Plants (biology); Principal component analysis; Sludge treatment; Wastewater treatment; EM; FCM; PCA; activated sludge; optimisation;
Conference_Titel :
Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
Conference_Location :
Dalian
Print_ISBN :
1-4244-0332-4
DOI :
10.1109/WCICA.2006.1713818
