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Online leak diagnosis in pipelines using an EKF-based and steady-state mixed approach

Autor
Santos, I.; Bermúdez, J. R.; López, F.; Puig, V.
Tipus d'activitat
Article en revista
Revista
Control engineering practice
Data de publicació
2018-12-01
Volum
81
Pàgina inicial
55
Pàgina final
64
DOI
https://doi.org/10.1016/j.conengprac.2018.09.006 Obrir en finestra nova
Repositori
http://hdl.handle.net/2117/130336 Obrir en finestra nova
URL
https://www.sciencedirect.com/science/article/pii/S0967066118305094 Obrir en finestra nova
Resum
This paper proposes a methodology for leak detection and isolation (LDI) in pipelines based on data fusion from two approaches: a steady-state estimation and an Extended Kalman Filter (EKF). The proposed method considers only pressure head and flow rate measurements at the pipeline ends, which contain intrinsic sensor and process noise. The LDI system is tested in real-time by using an USB data acquisition device that is implemented in MATLAB environment. The effectiveness of the method is analy...
Paraules clau
Data fusion, Extended Kalman Filter, Leak diagnosis, Pipelines, Real-time, Steady state
Grup de recerca
CS2AC-UPC - Supervision, Safety and Automatic Control
SAC - Sistemes Avançats de Control

Participants

  • Santos Ruiz, Ildeberto de los  (autor)
  • Bermúdez, Josu R.  (autor)
  • López Estrada, Francisco Ronay  (autor)
  • Puig Cayuela, Vicenç  (autor)