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Detection of Multiple Leaks in Liquid Transmission Pipelines Using Static Flow Model

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Intelligent and Safe Computer Systems in Control and Diagnostics (DPS 2022)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 545))

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Abstract

This work presents two methods for double leaks detection in liquid transmission pipelines. They may be used to detect both two simultaneous leaks and non-simultaneous ones. The first method is based on the pipeline’s static model with two leaks and minimization of the objective function, which is determined as the square deviation between modeled pressure and pressure measurements taken from the pipeline. The second method uses the pipeline’s static model, gradient index functions for leakage detection and algorithms to determine leaks’ location and size. Both methods were verified with measurements, gathered from the experimental pipeline to transmit water. The study results confirmed the highly satisfactory effectiveness of both proposed diagnostic methods.

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Acknowledgement

Research were partially carried out within project No. N N504 494439 supported by the National Science Centre – Poland in the years 2010–2015.

Research work was funded by the Bialystok University of Technology – project No. WZ/WM-IIM/2/2022.

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Authors and Affiliations

  1. Bialystok University of Technology, Wiejska Street 45A, 15-351, Białystok, Poland

    Pawel Ostapkowicz

  2. ŁUKASIEWICZ Research Network - Industrial Research Institute for Automation and Measurements PIAP, Al. Jerozolimskie Street 202, 02-486, Warsaw, Poland

    Andrzej Bratek

Authors
  1. Pawel Ostapkowicz
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  2. Andrzej Bratek
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Corresponding author

Correspondence to Pawel Ostapkowicz .

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Editors and Affiliations

  1. Faculty of Electronics, Telecommunications and Informatics, Gdansk University of Technology, Gdańsk, Poland

    Zdzislaw Kowalczuk

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Ostapkowicz, P., Bratek, A. (2023). Detection of Multiple Leaks in Liquid Transmission Pipelines Using Static Flow Model. In: Kowalczuk, Z. (eds) Intelligent and Safe Computer Systems in Control and Diagnostics. DPS 2022. Lecture Notes in Networks and Systems, vol 545. Springer, Cham. https://doi.org/10.1007/978-3-031-16159-9_20

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