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


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