Joaquim Blesa Izquierdo

Professor Agregat


Subline:

Automatic Control


E-mail jblesa (at) iri.upc.edu

Phone 93 4015754

  • Current
  • Archive

Publications

  • L. Gómez, I. Santos-Ruiz, J. Blesa, V. Puig and F.R. Lopez. Leak localization in an urban water distribution network using a LSTM deep neural network, 12th IFAC Symposium on Fault Detection Supervision and Safety for Technical Processes, 2024, Ferrara, Vol 58 of IFAC Papers Online, pp. 79-84.

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  • S.M. Hosseindokht, J. Blesa and V. Puig. Control óptimo multicapa de redes inteligentes, XLV Jornadas de Automática, 2024, Málaga, Spain, pp. 1-6.

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  • X. Fang, J. Blesa and V. Puig. Fault prognosis approach using data-driven structurally generated residuals, 32nd Mediterranean Conference on Control and Automation, 2024, Chania - Crete, Greece, pp. 531-536.

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  • X. Fang, J. Blesa and V. Puig. Fault diagnosis using interval data-driven LPV observers and structural analysis, 12th IFAC Symposium on Fault Detection Supervision and Safety for Technical Processes, 2024, Ferrara, Vol 58 of IFAC Papers Online, pp. 25-30.

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  • X. Fang, J. Blesa and V. Puig. Fault detection using data-driven LPV state estimation based on structural analysis and ANFIS, 2023 European Control Conference, 2023, Bucharest (Romania), pp. 1-6.

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  • L. Romero, J. Blesa, G. Cembrano and V. Puig. A comparison between model-based and data-driven leak localization methods, 22nd IFAC World Congress, 2023, Yokohama, pp. 737-742.

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  • L. Romero, D. Alves, J. Blesa, G. Cembrano, V. Puig and E. Duviella. Leak detection and localization in water distribution networks: review and perspective. Annual Reviews in Control, 55: 392-419, 2023.

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  • D. Alves, J. Blesa, E. Duviella and L. Rajaoarisoa. Data-driven leak localization in WDN using pressure sensor and hydraulic information, 2nd IFAC Workshop on Integrated Assessment Modelling for Environmental Systems, 2022, Tarbes, France, Vol 55 of IFAC-PapersOnLine, pp. 96-101.

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  • A. Soldevila, J. Blesa, S. Tornil-Sin, R.M. Fernandez-Cantí and V. Puig. Incremental upgrading sensor placement methodology: application to the leak localization in water networks. Computers and Chemical Engineering, 2022(158): 107642, 2022.

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  • D. Alves, J. Blesa, E. Duviella and L. Rajaoarisoa. Topological analysis of water distribution networks for optimal leak localization, 2022 International Conference on Hydroinformatics, 2022, Bucharest, Romania, Vol 1136 of IOP Conference Series: Earth and Environmental Science, pp. 012043.

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