The CMEKF Method for Sub-Sea Pipeline Monitoring and Leak Detection

被引:0
|
作者
白莉
岳前进
崔莉
李洪升
金兆玉
王庆国
机构
[1] Beijing 100084
[2] China
[3] Dalian 116023
[4] Dalian University of Technology
[5] Department of Engineering Mechanics
[6] Department of Precision Instrum.
[7] Laboratory of Tribology
[8] School of Civil and Hydraulic Engineering
[9] State Key Laboratory of Structural Analysis for Industrial Equipment
[10] Tsinghua University
关键词
long-distance pipeline; real time transient model; nonlinear dynamic system; extended Kalman filter;
D O I
暂无
中图分类号
P754 [海下工程];
学科分类号
0814 ; 081505 ; 0824 ; 082401 ;
摘要
A practical approach is discussed for sub-sea pipeline monitoring and leak detection based on the real time transient model . The characteristic method of transient simulation is coupled with the Extended Kalman Filter to estimate the system state where the only observed data are inlet and outlet flow rate and pressure. Because EKF has a time variant track under the non-stationary stochastic process with additive Gaussian noise, the high sensitivity of RTTM to non-stationary operating condition is reduced. A leak location recursion estimation formula is presented based on the real time observed data. The results of 27 groups of test data indicate that the procedure presented is sensitive to a wide range of detectable leak sizes and has a low average relative error of leak location .
引用
收藏
页码:527 / 535
页数:9
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