Title :
Research on Crude Oil Pipeline Leakage Detection and Location Based on Information Fusion
Author :
Jiang, Zhao ; Chongqing, Hao ; Yingbao, Zhao ; Yanying, Wang
Author_Institution :
Coll. of Electr. Eng. & Inf. Sci., HeBei Univ. of Sci. & Technol., Shijiazhuang
Abstract :
In the pipeline leakage detection and location, what we need to know is whether the pipe is leaky and where the leakage point is. In addition, we are very concerned about the extent of leakage, false alarm rate and missing alarm rate. Both correlation analysis method and sequential probability ratio test method can be used in the pipeline leakage detection and location. Correlation analysis method can get the extent of leakage but it cannot limit false alarm rate and missing alarm rate. Sequential probability ratio test method can reflect the two rates, but it cannot get the extent of leakage. In this paper, the two method are fuzzily fused by means of fuzzy variable weight method, thus we can arrive at a decision about the extent and location of leakage. We verify this method in simulated pipeline in lab, and the results show that the fusion method has better effects than single method.
Keywords :
leak detection; mechanical engineering computing; oil technology; pipelines; sensor fusion; correlation analysis method; crude oil pipeline leakage detection; crude oil pipeline leakage location; false alarm rate; fusion method; fuzzy variable weight method; information fusion; missing alarm rate; sequential probability ratio test method; Computer science; Computer science education; Educational institutions; Educational technology; Information science; Leak detection; Petroleum; Pipelines; Sequential analysis; Signal analysis; correlation analysis; fuzzy variable weight; information fusion; leakage detection and location; sequential probability ratio test;
Conference_Titel :
Education Technology and Computer Science, 2009. ETCS '09. First International Workshop on
Conference_Location :
Wuhan, Hubei
Print_ISBN :
978-1-4244-3581-4
DOI :
10.1109/ETCS.2009.571