Chapter
Jul 8, 2013
Classification - Optimization Model for Contamination Event Detection in Water Distribution Systems
Publication: World Environmental and Water Resources Congress 2013: Showcasing the Future
Abstract
The presented model features a decision support system that alerts for contamination events in water distribution systems. The presented model is composed of an inner weighted SVM classifier, recognizing outlier's measurements, and a framework of sequence analysis optimization for the classification of events. The SVM enables a simultaneous analysis of the multivariate data, in a high-dimensional space, differing from the one-dimensional parallel analysis that was conducted so far. A weighted SVM is used for blurring the difference between the two class sizes and dealing with the time factor attribute. The time decay factor gives higher weight to the more recent observations. All of the parameters in the model are data driven determined by enumeration and optimization. The classifier is updated constantly and exploits an increasing database. The model was applied on a real WDS data with randomly simulated events superimposed on the original measurements and showed promising results.
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© 2013 American Society of Civil Engineers.
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Published online: Jul 8, 2013
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Graduate student, Faculty of Civil and Environmental Engineering, Technion - Israel Institute of Technology, Haifa 32000, Israel. E-mail: [email protected]
Associate Professor, Faculty of Civil and Environmental Engineering, Technion - Israel Institute of Technology, Haifa 32000, Israel. E-mail: [email protected]
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