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Localization of multiple leaks in a fluid pipeline based on ultrasound velocity and improved GWO
Process Safety and Environmental Protection ( IF 6.9 ) Pub Date : 2020-05-01 , DOI: 10.1016/j.psep.2020.02.006
Lang Xianming , Li Ping , Zhang Baocun , Cao Jiangtao , Guo Ying , Kan Zhe , Lu Siyu

Abstract 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.

中文翻译:

基于超声速度和改进 GWO 的流体管道多处泄漏定位

摘要 流体管道多处泄漏位置难以有效定位;因此,提出了一种基于超声速度和改进灰狼优化算法(GWO)的多泄漏位置定位方法。首先,建立超声波速度与管道内压力信号之间的数学关系。其次,通过局部均值分解(LMD)对超声速度进行分解,并通过去噪后的小波变换提取超声速度的拐点。然后,提出了模拟退火GWO(SAGWO)方法来改善GWO易于收敛到局部最优的性能。最后,在多处泄漏的管道末端获得超声速度的拐点时间,并建立了目标函数来估计 SAGWO 对多次泄漏的定位。现场实验表明,所提出的方法可以有效准确地定位流体管道中的多个泄漏位置。
更新日期:2020-05-01
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