Gas Pipelines LPV Modelling and Identification for Leakage Detection

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2010

Autores

P. Lopes dos Santos (Autor) FEUP; Azevedo Perdicoulis, TP (Autor) Outra; Ramos, JA (Autor) Outra; Jank, G (Autor) Outra; Jorge Martins de Carvalho (Autor) FEUP; Milhinhos, J (Autor) Outra

Ata de Conferência Internacional

Título: ACC2010

Páginas: 1211-1216

American Control Conference

Baltimore, Maryland, USA, 30 de Junho a 2 de Julho de 2010

Indexação

ISI Web of Knowledge - 2 Citações

Scopus - 3 Citações

Outras Informações

ID Authenticus: P-003-D6Z

DOI: 10.1109/acc.2010.5531022

Abstract (EN): 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.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 6