Localization of multiple leaks in a fluid pipeline based on ultrasound velocity and improved GWO

被引:34
作者
Lang Xianming [1 ]
Li Ping [1 ]
Zhang Baocun [2 ]
Cao Jiangtao [1 ]
Guo Ying [1 ]
Kan Zhe [1 ]
Lu Siyu [3 ]
机构
[1] Liaoning Shihua Univ, Sch Informat & Control Engn, Fushun 113001, Peoples R China
[2] Shandong Nat Gas Pipeline Co Ltd, Jinan 250013, Shandong, Peoples R China
[3] Shenyang Longchang Pipeline Survey Ctr, Shenyang 110000, Peoples R China
基金
中国国家自然科学基金;
关键词
Ultrasound velocity; Local mean decomposition; Wavelet transform; Multiple leaks localization; Simulated annealing; Grey wolf optimization algorithm; NEGATIVE-PRESSURE WAVE; LOCATION; IDENTIFICATION; DIAGNOSIS; MODEL;
D O I
10.1016/j.psep.2020.02.006
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
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.
引用
收藏
页码:1 / 7
页数:7
相关论文
共 30 条
[1]   Integrity assessment of corroded pipelines using dynamic segmentation and clustering [J].
Amaya-Gomez, Rafael ;
Sanchez-Silva, Mauricio ;
Munoz, Felipe .
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION, 2019, 128 :284-294
[2]   Wavelet transform based estimation of modal parameters of rotors during operation [J].
Chandra, N. Harish ;
Sekhar, A. S. .
MEASUREMENT, 2018, 130 :264-278
[3]   Effect of rubber washers on leak location for assembled pressurized liquid pipeline based on negative pressure wave method [J].
Chen, Qiang ;
Shen, Guodong ;
Jiang, JunCheng ;
Diao, Xu ;
Wang, Zhirong ;
Ni, Lei ;
Dou, Zhan .
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION, 2018, 119 :181-190
[4]   A review on different pipeline fault detection methods [J].
Datta, Shantanu ;
Sarkar, Shibayan .
JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES, 2016, 41 :97-106
[5]   Application of the differentiation process into the correlation-based leak detection in urban pipeline networks [J].
Gao, Yan ;
Liu, Yuyou ;
Ma, Yifan ;
Cheng, Xiaobin ;
Yang, Jun .
MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2018, 112 :251-264
[6]   STAMP-based causal analysis of China-Donghuang oil transportation pipeline leakage and explosion accident [J].
Gong, Yunhua ;
Li, Yuntao .
JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES, 2018, 56 :402-413
[7]   Adaptive noise cancellation based on EMD in water-supply pipeline leak detection [J].
Guo, Chencheng ;
Wen, Yumei ;
Li, Ping ;
Wen, Jing .
MEASUREMENT, 2016, 79 :188-197
[8]   A Small Leak Localization Method for Oil Pipelines Based on Information Fusion [J].
Lang, Xianming ;
Li, Ping ;
Cao, Jiangtao ;
Li, Yan ;
Ren, Hong .
IEEE SENSORS JOURNAL, 2018, 18 (15) :6115-6122
[9]   A novel location algorithm for pipeline leakage based on the attenuation of negative pressure wave [J].
Li, Juan ;
Zheng, Qiang ;
Qian, Zhihong ;
Yang, Xiaoping .
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION, 2019, 123 :309-316
[10]   Leak detection of water distribution pipeline subject to failure of socket joint based on acoustic emission and pattern recognition [J].
Li, Suzhen ;
Song, Yanjue ;
Zhou, Gongqi .
MEASUREMENT, 2018, 115 :39-44