DocumentCode
231385
Title
Leakage detection in a CO2 pipeline using Acoustic emission techniques
Author
Ma Yifan ; Cui Xiwang ; Yan Yong ; Ma Lin ; Han Xiaojuan
Author_Institution
Sch. of Control & Comput. Eng., North China Electr. Power Univ., Beijing, China
fYear
2014
fDate
19-23 Oct. 2014
Firstpage
78
Lastpage
82
Abstract
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%.
Keywords
acoustic emission; acoustic signal detection; acoustic signal processing; pipelines; wavelet transforms; AE signal; CCS technology; CO2 leak; EMD; WT; acoustic emission signal; acoustic sensors; carbon capture and storage technology; empirical mode decomposition; location system; long distance transmission pipeline; pipe leak detection; wavelet transform; Acoustic emission; Educational institutions; Leak detection; Pipelines; Wavelet transforms; Acoustic emission; empirical mode decomposition (EMD); pipe leakage; signal processing; wavelet transform;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing (ICSP), 2014 12th International Conference on
Conference_Location
Hangzhou
ISSN
2164-5221
Print_ISBN
978-1-4799-2188-1
Type
conf
DOI
10.1109/ICOSP.2014.7014973
Filename
7014973
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