@inproceedings{5ae85a62929645c8848819232f171b1a,
title = "Leakage detection in a CO2 pipeline using Acoustic emission techniques",
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, Empirical mode decomposition (EMD), Pipe leakage, Signal processing, Wavelet transform",
author = "Yifan Ma and Xiwang Cui and Yong Yan and Lin Ma and Xiaojuan Han",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 12th IEEE International Conference on Signal Processing, ICSP 2014 ; Conference date: 19-10-2014 Through 23-10-2014",
year = "2014",
doi = "10.1109/ICOSP.2014.7014973",
language = "英语",
series = "International Conference on Signal Processing Proceedings, ICSP",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "October",
pages = "78--82",
editor = "Baozong Yuan and Qiuqi Ruan and Xiaofang Tang",
booktitle = "ICSP 2014 - 2014 IEEE 12th International Conference on Signal Processing, Proceedings",
address = "美国",
edition = "October",
}