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A novel gas pipeline burst detection and localization method based on the FBG caliber-based sensor array

机译:一种基于FBG级别的传感器阵列的新型气体管道突发检测与定位方法

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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.
机译:本文提出了一种新型气体管道突发检测和定位方法,消除了负压波(NPW)速度并提高了泄漏定位精度。对于突发检测,开发了一种新型光纤布拉格光栅(FBG)基于级别的传感器,可以准确测量NPW信号。基于传感器阵列,提出了一种仅取决于传感器间距和NPW到达时间的泄漏定位公式。提出了一种新颖的基于线性拟合的NPW膝关点识别算法,以更准确,快速地测量NPW到达时间,以获得最高的本地化精度。为了验证所提出的方法的有效性,在管道泄漏测试平台上进行高压气体管泄漏的仿真试验。测试结果表明,平均本地化误差为1.1米,误差的标准偏差为0.43。此外,对于不同的传感器间距,本地化精度是稳定的。 (c)2019年elestvier有限公司保留所有权利。

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