| contributor author | Jinglin Zhou | |
| contributor author | Yanling Dou | |
| date accessioned | 2022-02-01T22:07:30Z | |
| date available | 2022-02-01T22:07:30Z | |
| date issued | 11/1/2021 | |
| identifier other | %28ASCE%29PS.1949-1204.0000579.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4272663 | |
| description 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. | |
| publisher | ASCE | |
| title | Small Leak Detection Based on the Combination of Improved Fast Differential Algorithm and Integral Algorithm | |
| type | Journal Paper | |
| journal volume | 12 | |
| journal issue | 4 | |
| journal title | Journal of Pipeline Systems Engineering and Practice | |
| identifier doi | 10.1061/(ASCE)PS.1949-1204.0000579 | |
| journal fristpage | 04021042-1 | |
| journal lastpage | 04021042-13 | |
| page | 13 | |
| tree | Journal of Pipeline Systems Engineering and Practice:;2021:;Volume ( 012 ):;issue: 004 | |
| contenttype | Fulltext | |