DocumentCode :
2577913
Title :
Morphological filtering assisted field-pipeline small leakage detection
Author :
Li, Han ; Xiao, De-yun ; Zhao, Xiang
Author_Institution :
Dept. of Autom., Tsinghua Univ., Beijing, China
fYear :
2009
fDate :
11-14 Oct. 2009
Firstpage :
3769
Lastpage :
3774
Abstract :
Field-pipelines leakage detection based on the negative pressure wave theory is mainly aiming to effectively process pressure sample signal in time domain. Previous methods often perform well for detecting large leakage but poorly for small leakage. In this paper, an alternative way using a particular morphological filter constructed by basic morphological operators is considered. The particular filter employed can remove noise and disturbance while retaining the basic geometry shape of pressure sample signal. This feature allows the filter facilitating signal small and slow change detection. The effect of the structuring element length selection is also analyzed on simulated data to acquire empirical rules for practical applications. An experiment is studied to validate the performance of the employed morphological filter.
Keywords :
filtering theory; leak detection; mechanical engineering computing; pipelines; time-domain analysis; field-pipeline small leakage detection; morphological filtering; negative pressure wave theory; time domain; Electronic mail; Filtering theory; Geometry; Leak detection; Lubricating oils; Noise shaping; Nonlinear filters; Pipelines; Shape; Signal processing; morphological filtering; petroleum field-pipeline; small leakage detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man and Cybernetics, 2009. SMC 2009. IEEE International Conference on
Conference_Location :
San Antonio, TX
ISSN :
1062-922X
Print_ISBN :
978-1-4244-2793-2
Electronic_ISBN :
1062-922X
Type :
conf
DOI :
10.1109/ICSMC.2009.5346676
Filename :
5346676
Link To Document :
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