Application and Optimization of Algorithms for Pressure Wave Evaluation Based on Measurement Data
Applied Sciences, vol. 12, pp. 4192
Abstract
Leakages can occur in a district heating network, resulting in high economical damage. The propagating pressure wave resulting from large, spontaneous leakages reaches sensors at different locations in the network. This leads to pressure drops registered at each sensor at a different point in time. The time differences help to localize the leakage. Different algorithms are presented and applied in this paper to estimate the pressure drop time points based on non-uniform, time-discrete sensor signals. Five of the nine algorithms are self-developed with, e.g., parts of linear regression, whereas the other four algorithms have already been described in the literature, such as change-point detection. In this paper, several recorded events were investigated, and the algorithms were applied to real measurement data. After detection, leakage localization was performed to determine the affected exclusion area. A performance criterion was used as a measure to compare the algorithms. For practical application, the best-performing algorithm was identified. Furthermore, the events were classified according to how well they could be evaluated.
Authors 4
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Kai Vahldiek corresponding
Ostfalia University of Applied Sciences
Affiliation as printed
Institute for Information Engineering, Ostfalia University of Applied Sciences, Salzdahlumer Str. 46/48, 38302 Wolfenbuttel, Germany
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Affiliation as printed
Department of Computer Science, RWTH Aachen University, 52070 Aachen, Germany
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Affiliation as printed
SWM Services GmbH, Emmy-Noether-Str. 2, 80992 Munchen, Germany
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Ostfalia University of Applied Sciences
Affiliation as printed
Institute for Information Engineering, Ostfalia University of Applied Sciences, Salzdahlumer Str. 46/48, 38302 Wolfenbuttel, Germany
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