Approximate and analytic flow models for leak detection and identification

• Autorzy: Tatara, Marek S. , Kowalczuk, Zdzisław
• Języki publikacji: EN

Abstrakty

EN

The article presents a comprehensive quantitative comparison of four analytical models that, in different ways, describe the flow process in transmission pipelines necessary in the task of detecting and isolating leaks. First, the analyzed models are briefly presented. Then, a novel model comparison framework is introduced along with a methodology for generating data and assessing diagnostic effectiveness. The study presents basic assumptions, experimental conditions and scenarios considered. Finally, the quality of the model-based diagnostic estimators is assessed, focusing on their bias, standard deviation, and computational complexity. Here, several optimality criteria are used as detailed indicators of the quality and performance of the estimators in a multi-criteria Pareto optimality assessment.

Słowa kluczowe

PL

wykrywanie wycieku; rurociąg przesyłowy; diagnostyka uszkodzeń; modelowanie matematyczne

EN

leak detection; leak isolation; transmission pipeline; fault diagnosis; mathematical modeling

• Czasopismo: International Journal of Applied Mathematics and Computer Science
• Rocznik: 2024
• Tom: Vol. 34, no. 3
• Strony: 391--407
• Opis fizyczny: Bibliogr. 52 poz., rys., tab., wykr.

Twórcy

autor

Tatara, Marek S.

• Department of Robotics and Decision Systems, Gdańsk University of Technology, ul. Narutowicza 11/12, 80-233 Gdańsk, Poland,

autor

Kowalczuk, Zdzisław

• Department of Robotics and Decision Systems, Gdańsk University of Technology, ul. Narutowicza 11/12, 80-233 Gdańsk, Poland,

Bibliografia

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Identyfikatory

DOI

10.61822/amcs-2024-0028