J
Joaquim Blesa
Researcher at Polytechnic University of Catalonia
Publications - 109
Citations - 1802
Joaquim Blesa is an academic researcher from Polytechnic University of Catalonia. The author has contributed to research in topics: Fault detection and isolation & Fault (power engineering). The author has an hindex of 22, co-authored 101 publications receiving 1454 citations. Previous affiliations of Joaquim Blesa include Spanish National Research Council.
Papers
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FDI and FTC of wind turbines using the interval observer approach and virtual actuators/sensors
TL;DR: In this article, the problem of Fault Detection and Isolation (FDI) and Fault Tolerant Control (FTC) of wind turbines is addressed, and a fault estimation approach based on batch least squares is used.
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Leak localization in water distribution networks using Bayesian classifiers
TL;DR: This paper presents a method for leak localization in water distribution networks (WDNs) based on Bayesian classifiers, which is applied on-line to the computed residuals to determine the location of leaks in the WDN.
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An Interval NLPV Parity Equations Approach for Fault Detection and Isolation of a Wind Farm
TL;DR: This paper addresses the problem of fault diagnosis of a wind farm using interval nonlinear parameter-varying (NLPV) parity equations using the context of the wind farm fault-detection-and-isolation/fault-tolerant-control competition.
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Leak localization in water distribution networks using a mixed model-based/data-driven approach
Adrià Soldevila,Joaquim Blesa,Sebastian Tornil-Sin,Eric Duviella,Rosa M. Fernandez-Canti,Vicenç Puig +5 more
TL;DR: In this paper, a new method for leak localization in water distribution networks (WDNs) is proposed, where residuals are obtained by comparing pressure measurements with the estimations provided by a WDN model, and a classifier is applied to the residuals with the aim of determining the leak location.
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Robust fault diagnosis of proton exchange membrane fuel cells using a Takagi-Sugeno interval observer approach
Damiano Rotondo,Rosa M. Fernandez-Canti,Sebastian Tornil-Sin,Sebastian Tornil-Sin,Joaquim Blesa,Joaquim Blesa,Vicenç Puig,Vicenç Puig +7 more
TL;DR: In this article, a fault detection test is based on checking the consistency between the measurements and the output estimations provided by the Takagi-Sugeno (TS) interval observers.