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.
Original language | English |
---|---|
Pages (from-to) | 444-451 |
Number of pages | 8 |
Journal | Procedia Engineering |
Volume | 186 |
DOIs | |
Publication status | Published - 2017 |
Keywords
- correlation
- genetic algorithm
- graph ordering
- minkowski metric
- Model-based
ASJC Scopus subject areas
- General Engineering
Fields of Expertise
- Sustainable Systems