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发布时间：2020-02-17

论文类型：期刊论文

发表时间：2020-02-01

发表刊物：MEASUREMENT

收录刊物：SCIE、EI

卷号：151

ISSN号：0263-2241

关键字：Pipeline leak localization; NPW; FBG caliber-based sensor; Knee point identification algorithm

摘要：This paper presents a novel gas pipeline burst detection and localization method eliminating the negative pressure wave (NPW) velocity and improving the leak localization accuracy. For burst detection, a novel fiber Bragg grating (FBG) caliber-based sensor is developed that can accurately measure NPW signals. Based on the sensor array, a leak localization formula is proposed that is only dependent on the sensor spacing and NPW arrival time. A novel linear fitting-based NPW knee point identification algorithm is proposed to measure the NPW arrival time more accurately and quickly to obtain the highest localization accuracy. To validate the effectiveness of the presented method, simulation tests of a high-pressure gas pipe leak are carried out on a pipe leak test platform. The test results show that the average localization error is 1.1 m and the standard deviation of the errors is 0.43. Furthermore, the localization accuracy is stable for different sensor spacings. (C) 2019 Elsevier Ltd. All rights reserved.