Leakage detection and location in gas pipelines through an LPV identification approach

DOI10.1016/J.CNSNS.2011.03.029zbMath1408.93048OpenAlexW2026980232MaRDI QIDQ654327

J. L. Martins de Carvalho, José A. Ramos, Teresa Paula Azevedo-Perdicoúlis, Paulo Lopes dos Santos, Gerhard Jank

Publication date: 28 December 2011

Published in: Communications in Nonlinear Science and Numerical Simulation (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/10316/27728

zbMATH Keywords

Kalman filtergas networksleakage detectionLPV subspace identification

Mathematics Subject Classification ID

System identification (93B30) Variable structure systems (93B12)

Related Items (1)

Adaptive Kalman filter for actuator fault diagnosis

Uses Software

• SIMONE

Cites Work

• Unnamed Item
• Subspace identification of linear parameter-varying systems with innovation-type noise models driven by general inputs and a measurable white noise time-varying parameter vector
• Leak detection and location in gas pipelines

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