TY  - JOUR 
AU  - Escuela de Ingenierias Industrial, Informática y Aeroespacial
AU  - Alaiz Moretón, Héctor
AU  - Castejón Limas, Manuel
AU  - Casteleiro Roca, José Luis
AU  - Jove, Esteban
AU  - Fernández Robles, Laura
AU  - Calvo Rolle, José Luis
AU  - Ingenieria de Sistemas y Automatica
DA  - 2019
UR  - https://hdl.handle.net/10612/21141
AB  - [EN] This paper proposes a methodology for dealing with an issue of crucial practical importance in real engineering systems such as fault detection and recovery of a sensor. The main goal is to define a strategy to identify a malfunctioning sensor...
LA  - eng
PB  - MDPI
KW  - Ingeniería de sistemas
KW  - Fault detection
KW  - Geothermal heat exchanger
KW  - Random decision forests
KW  - Gradient boostings
KW  - Extremely randomized trees
KW  - Adaptive boosting
KW  - K-nearest neighbors
KW  - Shallow neural networks
TI  - A Fault Detection System for a Geothermal Heat Exchanger Sensor Based on Intelligent Techniques
DO  - 10.3390/s19122740
T2  - Sensors
VL  - 19
M2  - 2740
ER  -