Small Leak Detection Based on the Combination of Improved Fast Differential Algorithm and Integral Algorithm
Publication: Journal of Pipeline Systems Engineering and Practice
Volume 12, Issue 4
Abstract
Detecting small leaks in time can prevent an accident from getting worse, which plays an extremely important role in safe pipeline transportation. In order to improve the ability to detect small leaks, this paper proposes a new pipeline leak detection method based on the combination of the improved fast differential algorithm and integral algorithm. This paper first reviews and analyzes the advantages and disadvantages of the fast differential algorithm; on this basis, to further improve the signal-to-noise ratio (SNR) of small leaks and the robustness of the leakage monitoring system, an integral algorithm with adaptive initialization is proposed; Next, to improve the location accuracy of small leaks, historical data are used to estimate the wave speed. The application of actual leakage test data shows that the proposed method can detect a leakage rate of about 0.3%; the false alarm rate is significantly reduced, and the positioning accuracy is improved. All of those verify the effectiveness and practicability of the proposed method.
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Data Availability Statement
Some or all data, models, or code that support the findings of this study were available from the corresponding author upon reasonable request.
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Published In
Journal of Pipeline Systems Engineering and Practice
Volume 12 • Issue 4 • November 2021
Copyright
© 2021 American Society of Civil Engineers.
History
Received: Nov 26, 2020
Accepted: Apr 19, 2021
Published online: Jul 15, 2021
Published in print: Nov 1, 2021
Discussion open until: Dec 15, 2021
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