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
fDate :
6/1/2010 12:00:00 AM
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"
Conference_Titel :
American Control Conference (ACC), 2010
Print_ISBN :
978-1-4244-7426-4
DOI :
10.1109/ACC.2010.5531022