Computer Science – Neural and Evolutionary Computing
Scientific paper
2007-11-19
Progress in Industrial Mathematics at ECMI 2006 (edited by L. L. Bonilla, M. A. Moscoso, G. Platero, and J. M. Vega), vol. 12
Computer Science
Neural and Evolutionary Computing
5 pages
Scientific paper
State estimation is necessary in diagnosing anomalies in Water Demand Systems (WDS). In this paper we present a neural network performing such a task. State estimation is performed by using optimization, which tries to reconcile all the available information. Quantification of the uncertainty of the input data (telemetry measures and demand predictions) can be achieved by means of robust estate estimation. Using a mathematical model of the network, fuzzy estimated states for anomalous states of the network can be obtained. They are used to train a neural network capable of assessing WDS anomalies associated with particular sets of measurements.
Izquierdo J.
Martinez F. J.
Perez Ricardo
Tung Michael M.
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