DocumentCode :
2616915
Title :
A Field-Pipeline Leakage Detection Method Based on Negative Pressure Wave and Improved Fast Differential Algorithm
Author :
Li, Han ; Xiao, De-yun ; Zhao, Xiang
Author_Institution :
Dept. of Autom., Tsinghua Univ., Beijing, China
Volume :
1
fYear :
2009
fDate :
21-22 May 2009
Firstpage :
127
Lastpage :
130
Abstract :
Field-pipeline operations are more easily affected by complex environment in comparison of common long-distance pipeline. Its failures such as leakage demand to be dealt with more urgently and efficiently. This paper proposes a leakage detection method based on the improved fast differential algorithm on the basis of negative pressure wave detection theory. The method can achieve high sensitivity with restraining false alarm rate through fluctuation assessment of sampling average value. The paper shows an experiment example and compares with the wavelet transform method. The proposed method not only possesses a faster computing rate, but a capability of detecting small leakage. Thus it can adapt to rapid response under field-environment.
Keywords :
leak detection; pipelines; field-pipeline leakage detection method; fluctuation assessment; improved fast differential algorithm; negative pressure wave detection theory; Automation; Fluctuations; Force measurement; Leak detection; Petroleum; Pipelines; Pumps; Sampling methods; Signal sampling; Wavelet transforms; fast differential algorithm; leakage detection; negative; petroleum pipeline;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information and Computing Science, 2009. ICIC '09. Second International Conference on
Conference_Location :
Manchester
Print_ISBN :
978-0-7695-3634-7
Type :
conf
DOI :
10.1109/ICIC.2009.39
Filename :
5169556
Link To Document :
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