Repositorio Institucional de la Universidad de Oviedo

Now showing items 1-6 of 6

A deep learning approach for fusing sensor data from screw compressors

Alonso, S.; Pérez, D.; Morán, A.; Fuertes, J. J.; Díaz Blanco, Ignacio; Domínguez, M. (2019)
Echo state networks for anomaly detection in industrial systems

Rodríguez Ossorio, J. R.; Morán, A.; Alonso, S.; Pérez, D.; Díaz Blanco, Ignacio; Domínguez, M. (2023)
Estimating cooling production and monitoring efficiency in chillers using a soft sensor

Alonso, S.; Morán, A.; Pérez, D.; Prada, M. A.; Díaz Blanco, Ignacio; Domínguez, M. (2020)
Reactivation of Paleozoic structures during Cenozoic deformation in the Cordon del Plata and Southern Precordillera ranges (Mendoza, Argentina)

Giambiagi, Laura Beatriz; Mescua, J.; Heredia Carballo, Nemesio; Farias Arquer, Pedro José; García-Sansegundo, Joaquín; Fernández, C.; Stier, S.; Pérez, D.; Bechis, F.; Moreiras, S. M.; Lossada, A. (Universidad Complutense de Madrid (UCM):Consejo Superior de Investigaciones Científicas (CSIC), 2014)
Two-step residual-error based approach for anomaly detection in engineering systems using variational autoencoders

González Muñiz, Ana; Díaz Blanco, Ignacio; Cuadrado Vega, Abel Alberto; García Pérez, Diego; Pérez, D. (2022)
Virtual sensor based on a deep learning approach for estimating efficiency in chillers

Alonso, S.; Morán, A.; Pérez, D.; Reguera, P.; Díaz Blanco, Ignacio; Domínguez, M. (2019)