共 30 条
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.
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页码:1 / 7
页数:7
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