LEAKAGE DETECTION IN A CO2 PIPELINE USING ACOUSTIC EMISSION TECHNIQUES

被引:0
作者
Ma Yifan [1 ]
Cui Xiwang [1 ]
Yan Yong [1 ,2 ]
Ma Lin [1 ,3 ]
Han Xiaojuan [1 ]
机构
[1] North China Elect Power Univ, Sch Control & Comp Engn, Beijing 102206, Peoples R China
[2] Univ Kent, Sch Engn & Digital Arts, Canterbury CT2 7NT, Kent, England
[3] Univ Leeds, Fac Engn, ETII, Leeds LS2 9JT, W Yorkshire, England
来源
2014 12TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING (ICSP) | 2014年
关键词
Acoustic emission; pipe leakage; signal processing; empirical mode decomposition (EMD); wavelet transform; CARBON CAPTURE;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Carbon capture and storage (CCS) technology is considered to be one of the most promising options in dealing with the problem of global warming, where long distance transmission pipeline is often used for transporting captured CO2 to the storage site. A pipe leak detection and location system is established in the present work. An Acoustic emission (AE) signal occurs when CO2 leak takes place. The signal propagates along the pipe and can be recorded by acoustic sensors mounted on the pipe. Experimental tests were performed to identify the leak location in the pipe through wavelet transform (WT) and empirical mode decomposition (EMD) of the AE signal The relationship between the distance of two sensors and the leak location is investigated. Experimental results demonstrate that the maximum error in the estimation of the leak location is less than 5%.
引用
收藏
页码:78 / 82
页数:5
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