A data-driven approach based on principal component analysis (PCA) and fuzzy clustering extracting the necessary monitoring information solely out of transmembrane pressure data was investigated for this purpose. Overall, the tested techniques appeared useful and can serve as the basis for automatic membrane fouling monitoring and control.
Membrane bioreactor fouling behaviour assessment through principal component analysis and fuzzy clustering / T. Maere; K. Villez; S. Marsili Libelli; W. Naessens; I. Nopens. - In: WATER RESEARCH. - ISSN 0043-1354. - STAMPA. - 46:(2012), pp. 6132-6142. [10.1016/j.watres.2012.08.027]
Membrane bioreactor fouling behaviour assessment through principal component analysis and fuzzy clustering
MARSILI LIBELLI, STEFANO;
2012
Abstract
A data-driven approach based on principal component analysis (PCA) and fuzzy clustering extracting the necessary monitoring information solely out of transmembrane pressure data was investigated for this purpose. Overall, the tested techniques appeared useful and can serve as the basis for automatic membrane fouling monitoring and control.File in questo prodotto:
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