Title :
Leak detection of gas transport pipelines based on wigner distribution
Author :
Yang, Hongying ; Ye, Hao ; Zhai, Shouchao ; Wang, Guizeng
Author_Institution :
Comput. Sci. & Technol. Dept., Tsinghua Univ., Beijing, China
Abstract :
This paper reports on the application of Wigner-Ville Distribution (WVD) method in leak detection of gas transport pipelines. WVD of the acoustic signal inside a pipeline is used to detect the change of the signal caused by leak. In order to reduce the influence of cross term disturbances, the time average of WVD results is calculated and used as the residual to detect leak faults. Experimental results based on real data show that the method can detect the leak faults of long gas transport pipelines effectively.
Keywords :
Wigner distribution; acoustic signal processing; condition monitoring; fault diagnosis; leak detection; pipelines; Wigner-Ville Distribution method; acoustic signal; fault detection; gas transport pipelines; leak detection; Acoustics; Leak detection; Monitoring; Pipelines; Signal analysis; Time frequency analysis; Transforms;
Conference_Titel :
Advanced Control of Industrial Processes (ADCONIP), 2011 International Symposium on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4244-7460-8
Electronic_ISBN :
978-988-17255-0-9