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The CMEKF method for sub-sea pipeline monitoring and leak detection
Bai, L ; Yue, QJ ; Cui, L ; Li, HS ; Jin, ZY ; Wang, QG
2010-05-10 ; 2010-05-10
关键词long-distance pipeline real time transient model nonlinear dynamic system extended Kalman filter LOCATION Engineering, Civil Engineering, Ocean Engineering, Mechanical Water Resources
中文摘要A practical approach is discussed for sub-sea pipeline monitoring and leak detection based on the real time transient model (RTTM). The characteristic method (CM) of transient simulation is coupled with the Extended Kalman Filter (EKF) 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 (1.5% similar to 57% of inlet flow rate) and has a low average relative error of leak location (< 5%).
语种英语 ; 英语
出版者CHINA OCEAN PRESS ; BEIJING ; INTERNATIONAL DEPT, 8 DA HUI SHI, BEIJING 100081, PEOPLES R CHINA
内容类型期刊论文
源URL[http://hdl.handle.net/123456789/25083]  
专题清华大学
推荐引用方式
GB/T 7714
Bai, L,Yue, QJ,Cui, L,et al. The CMEKF method for sub-sea pipeline monitoring and leak detection[J],2010, 2010.
APA Bai, L,Yue, QJ,Cui, L,Li, HS,Jin, ZY,&Wang, QG.(2010).The CMEKF method for sub-sea pipeline monitoring and leak detection..
MLA Bai, L,et al."The CMEKF method for sub-sea pipeline monitoring and leak detection".(2010).
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