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contributor authorJinglin Zhou
contributor authorYanling Dou
date accessioned2022-02-01T22:07:30Z
date available2022-02-01T22:07:30Z
date issued11/1/2021
identifier other%28ASCE%29PS.1949-1204.0000579.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4272663
description abstractDetecting 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.
publisherASCE
titleSmall Leak Detection Based on the Combination of Improved Fast Differential Algorithm and Integral Algorithm
typeJournal Paper
journal volume12
journal issue4
journal titleJournal of Pipeline Systems Engineering and Practice
identifier doi10.1061/(ASCE)PS.1949-1204.0000579
journal fristpage04021042-1
journal lastpage04021042-13
page13
treeJournal of Pipeline Systems Engineering and Practice:;2021:;Volume ( 012 ):;issue: 004
contenttypeFulltext


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