首页> 外文期刊>Transactions of The Institution of Chemical Engineers. Process Safety and Environmental Protection, Part B >Localization of multiple leaks in a fluid pipeline based on ultrasound velocity and improved GWO
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Localization of multiple leaks in a fluid pipeline based on ultrasound velocity and improved GWO

机译:基于超声速度和改进的GWO流体管线中多次泄漏的定位

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摘要

It is difficult to effectively locate the position of multiple leaks in fluid pipelines; therefore, a localization method for multiple leak positions is proposed based on ultrasound velocity and improved grey wolf optimization algorithm (GWO). First, the mathematical relationship between ultrasound velocity and the pressure signal inside a pipeline is established. Second, the ultrasound velocity is decomposed by local mean decomposition (LMD), and the inflection point of the ultrasound velocity by using a wavelet transform after denoising is extracted. Then, the simulated annealing GWO (SAGWO) method is proposed to improve the performance of GWO which is easy to converge to local optimum. Finally, the inflection time of the ultrasound velocity is obtained at the ends of a pipeline with multiple leaks, and an objective function is established to estimate the localization of the multiple leaks by SAGWO. The field experiment demonstrates that the proposed method can effectively and accurately locate multiple leak positions in a fluid pipeline. (C) 2020 Institution of Chemical Engineers. Published by Elsevier B.V. All rights reserved.
机译:很难有效地定位流体管道中多次泄漏的位置;因此,基于超声速度和改进的灰狼优化算法(GWO)提出了一种用于多泄漏位置的定位方法。首先,建立超声速度与管道内部压力信号之间的数学关系。其次,超声速度通过局部平均分解(LMD)分解,并提取在去噪之后使用小波变换来进行超声速度的拐点。然后,提出了模拟退火GWO(SAGWO)方法以改善GWO的性能,这易于收敛到局部最佳。最后,在具有多个泄漏的管道的末端获得超声速度的拐点,并且建立了目标函数以估计SAGWO的多次泄漏的定位。现场实验表明,所提出的方法可以有效地能够在流体管道中有效地定位多个泄漏位置。 (c)2020化学工程师机构。 elsevier b.v出版。保留所有权利。

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