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
Link To Document :
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