Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
5028239 | Procedia Engineering | 2017 | 8 Pages |
Abstract
In this paper the impact of different distance metrics as well as different sortings of the parameter space on the shape of the objective function for model-based leakage localization is investigated. Leakage localization is formulated as an optimization problem solved with a differential evolution algorithm. Distance metrics and sortings are evaluated through the convergence speed of the algorithm and the quality of the results in terms of a topological distance from the leak found by the algorithm to the real leak. The algorithm is tested on a hydraulic model of a real-world network and has shown that a Cuthill-McKee ordering of the search space together with correlation distance metric performs the best.
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Authors
D.B. Steffelbauer, M. Günther, D. Fuchs-Hanusch,