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Environmental Engineering Research 2005;10(2): 88-103. DOI: https://doi.org/10.4491/eer.2005.10.2.088
MODELING AND MULTIRESOLUTION ANALYSIS IN A FULL-SCALE INDUSTRIAL PLANT
Chang Kyoo Yoo1,2, and Hong-Rok Son1
1School of Environmental Science and Engineering/Department of Chemical Engineering, Pohang University of Science and Technology, San 31 Hyoja Dong, Pohang, 790-784, Korea
2BIOMATH, Department of Applied Mathematics, Biometrics and Process Control, Ghent University, Coupure Links 653, B-9000 Gent, Belgium
Corresponding Author: Chang Kyoo Yoo ,Tel: +82-54-279-5966, Fax: +82-54-279-8299 , Email: ckyoo@postech.edu
Received: November 9, 2003;  Accepted: April 10, 2004.
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ABSTRACT
In this paper, data-driven modeling and multiresolution analysis (MRA) are applied for a full-scale wastewater treatment plant (WWTP). The proposed method is based on modeling by partial least squares (PLS) and multiscale monitoring by a generic dissimilarity measure (GDM), which is suitable for nonstationary and non-normal process monitoring such as a biological process. Case study in an industrial plant showed that the PLS model could give good modeling performance and analyze the dynamics of a complex plant and MRA was useful to detect and isolate various faults due to its multiscale nature. The proposed method enables us to show the underlying phenomena as well as to filter out unwanted and disturbing phenomena.
Keywords: Disturbance detection and diagnosis | multiscale modeling | multiresolution analysis (MRA) | partial least squares (PLS) | process monitoring | wastewater treatment process (WWTP)
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