LEAK DETECTION AND LEAKAGE ASSESSMENT OF SUBMARINE PIPELINES BASED ON PASSIVE ACOUSTICS

被引:0
|
作者
Zhang, Yu [1 ]
Feng, Zhu [1 ]
Rui, Xiaobo [1 ]
Wang, Bingpu [1 ]
机构
[1] Tianjin Univ, State Key Lab Precis Measurement Technol & Instru, Tianjin, Peoples R China
关键词
Passive acoustics; Adaptive spectrum matching; Characteristic frequency extraction; GAS; STORAGE;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Passive acoustic is considered to be a more economical and suitable method for long-term monitoring at sea. In this paper, a gas flow measurement method under low signal-to-ratio and overlapping conditions is proposed. The signal-to-noise ratio and measurement stability can be improved through complementary ensemble empirical mode decomposition and adaptive frequency matching. The normalized energy window is used to determine the time period of each bubble to ensure the accuracy of the frequency identification. The accuracy was verified by experiments. The results show that in the flow range of 100-1000mL/min, the measurement error is controlled within 6%. This paper provides insight into low signal-to-noise ratio and high-speed escaping gas flow measurement technology.
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页数:3
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