Journal ArticleDOI
Multi-leak diagnosis in pipelines based on Extended Kalman Filter
TLDR
In this article, a model-based approach to detect and isolate non-concurrent multiple leaks in a pipeline is proposed, only using pressure and flow sensors placed at the pipeline ends, which relies on a nonlinear modeling derived from Water-Hammer equations, and related Extended Kalman Filters used to estimate leak coefficients.About:
This article is published in Control Engineering Practice.The article was published on 2016-04-01. It has received 65 citations till now. The article focuses on the topics: Extended Kalman filter & Leak.read more
Citations
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Journal ArticleDOI
Recent Advances in Pipeline Monitoring and Oil Leakage Detection Technologies: Principles and Approaches
TL;DR: This paper discusses pipeline leakage detection technologies and summarises the state-of-the-art achievements, and compares performance analysis is performed to provide a guide in determining which leak detection method is appropriate for particular operating settings.
Journal ArticleDOI
Leakage detection techniques for oil and gas pipelines: State-of-the-art
TL;DR: The existing detection methods that can be used in oil and gas pipelines are introduced and their advantages, limitations, applicable occasions, and performance are analyzed so as to provide the reference for the selection of oil andGas pipeline detection technology in engineering.
Journal ArticleDOI
Leak Detection and Location of Pipelines Based on LMD and Least Squares Twin Support Vector Machine
TL;DR: A flow model for pipeline leakage is proposed based on the Flowmaster software, where the collected data of the different working conditions are processed and the proposed method can effectively identify differentWorking conditions and accurately locate the leakage point.
Journal ArticleDOI
Leak diagnosis in pipelines using a combined artificial neural network approach
E.J. Pérez-Pérez,Francisco-Ronay López-Estrada,Guillermo Valencia-Palomo,Lizeth Torres,Vicenç Puig,J.D. Mina-Antonio +5 more
TL;DR: A methodology to detect and locate water leaks in pipelines by using artificial neural networks techniques and online measurements of pressure and flow rate and the results demonstrate good performance and the applicability of the proposed method.
Journal ArticleDOI
Online leak diagnosis in pipelines using an EKF-based and steady-state mixed approach
Ildeberto Santos-Ruiz,J.R. Bermúdez,Francisco-Ronay López-Estrada,Vicenç Puig,Lizeth Torres,J.A. Delgado-Aguiñaga +5 more
TL;DR: The incorporation of a steady-state estimation shows that the solution of the LDI problem has improved significantly with respect to the one that only considers the EKF estimation, suggesting a new approach to leak detection and isolation in pipelines.
References
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BookDOI
Optimal State Estimation Kalman, Hoo and Nonlinear Approches
TL;DR: This is a list of errors in the book Optimal State Estimation, John Wiley & Sons, 2006.
Journal ArticleDOI
A simple observer for nonlinear systems applications to bioreactors
TL;DR: In this paper, an observer for nonlinear systems is constructed under rather general technical assumptions (the fact that some functions are globally Lipschitz) and a tentative application to biological systems is described.
BookDOI
Optimal State Estimation
TL;DR: In this article, a list of errors in the book Optimal State Estimation, John Wiley & Sons, 2006, is presented, along with a detailed discussion of the errors.
Book
Engineering Fluid Mechanics
TL;DR: In this article, the authors present an approach for the analysis of flow properties and properties in a 3D manifold with respect to velocity, acceleration, and velocity distribution, and the Bernoulli Equation.
Journal ArticleDOI
Explicit Equations for Pipe-Flow Problems
TL;DR: In this paper, the authors present explicit and accurate equations for pipe diameter and head loss and a closed form solution for the discharge through the pipe, based on Colebrook-White equation.