DocumentCode
3636800
Title
Gas pipelines LPV modelling and identification for leakage detection
Author
P. Lopes dos Santos;T-P Azevedo-Perdicoúlis;J. A. Ramos;G. Jank;J. L. Martins de Carvalho;J. Milhinhos
Author_Institution
Faculdade de Engenharia da Universidade do Porto, Rua Dr Roberto Frias s/n, 4200-465 Porto, Portugal
fYear
2010
fDate
6/1/2010 12:00:00 AM
Firstpage
1211
Lastpage
1216
Abstract
A new approach to gas leakage detection in high pressure distribution networks is proposed, where the pipeline is modelled as a Linear Parameter Varying (LPV) System driven by the source node mass flow with the pressure as the scheduling parameter, and the system output as the mass flow at the offtake. Using a recently proposed successive approximations LPV system subspace identification algorithm, the pipeline is thus identified from operational data. The leak is detected using a Kalman filter where the fault is treated as an augmented state. The effectiveness of this method is illustrated with an example with a mixture of real and simulated data.
Keywords
"Pipelines","Leak detection","Integral equations","Monitoring","Iterative algorithms","Convergence","Fluid flow measurement","Fault detection","Iterative methods","Difference equations"
Publisher
ieee
Conference_Titel
American Control Conference (ACC), 2010
ISSN
0743-1619
Print_ISBN
978-1-4244-7426-4
Type
conf
DOI
10.1109/ACC.2010.5531022
Filename
5531022
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