DocumentCode :
2695196
Title :
Leak detection and location for gas pipelines using acoustic emission sensors
Author :
Shuaiyong Li ; Yumei Wen ; Ping Li ; Jin Yang ; Lili Yang
Author_Institution :
Dept. of Optoelectron. Eng., Chongqing Univ., Chongqing, China
fYear :
2012
fDate :
7-10 Oct. 2012
Firstpage :
957
Lastpage :
960
Abstract :
This paper presents an adaptive leak detection and location scheme for gas pipelines by using acoustic emission (AE) sensors. When gas being ejected from pipelines, an acoustic emission is produced at the leak hole and the acoustic vibration is transmitted along the pipeline. The acoustic movement can be picked up by AE sensors placed at either sides of a suspected leak on the outer surface of pipelines. The elastic wave signals carry the information of the gas leak source which reveals the occurrence and location of the gas leak. The time delay between the two elastic wave signals are estimated by an adaptive time delay estimator and used in combination with the sonic speed in gas pipelines and the space of the two sensors to locate the gas leakage. The experimental resuIts show that the length of the tested pipeline can be up to over 80 m at a time and the relative location error is around 1 %.
Keywords :
acoustic emission; acoustic signal processing; elastic waves; estimation theory; inspection; leak detection; mechanical engineering computing; pipelines; sensors; vibrations; AE sensors; acoustic emission sensors; acoustic vibration transmission; adaptive leak detection scheme; adaptive leak location scheme; adaptive time delay estimator; elastic wave signals; gas leak location; gas leak occurrence; gas leak source; gas pipeline outer surface; leak hole; relative location error; sonic speed; Acoustics; Delays; Lead; Leak detection; Monitoring; Pipelines; acoustic emission; gas pipelines; leak detection; leak location;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Ultrasonics Symposium (IUS), 2012 IEEE International
Conference_Location :
Dresden
ISSN :
1948-5719
Print_ISBN :
978-1-4673-4561-3
Type :
conf
DOI :
10.1109/ULTSYM.2012.0239
Filename :
6562443
Link To Document :
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