Research on Crude Oil Pipeline Leakage Detection and Location Based on Information Fusion

被引:0
作者
Zhao Jiang [1 ]
Hao Chongqing [1 ]
Zhao Yingbao [1 ]
Wang Yanying [1 ]
机构
[1] HeBei Univ Sci & Technol, Coll Elect Engn & Informat Sci, Shijiazhuang, Peoples R China
来源
PROCEEDINGS OF THE FIRST INTERNATIONAL WORKSHOP ON EDUCATION TECHNOLOGY AND COMPUTER SCIENCE, VOL III | 2009年
关键词
information fusion; fuzzy variable weight; correlation analysis; sequential probability ratio test; leakage detection and location;
D O I
10.1109/ETCS.2009.571
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
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.
引用
收藏
页码:201 / 204
页数:4
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