Ruz Hernández, José A.; Sánchez, Edgar N.; Suárez, Dionisio A.(Universitat Politècnica de València, 2008-01-24)
[ES] En este artículo, los autores presentan un nuevo enfoque de síntesis para entrenar memorias asociativas implementadas con redes neuronales recurrentes. Los pesos de la red recurrente se determinan como la solución ...
López-Estrada, F. R.; Méndez-López, A.; Santos-Ruiz, I.; Valencia-Palomo, G.; Escobar-Gómez, E.(Universitat Politècnica de València, 2021-07-01)
[EN] This work proposes an actuator fault detection and isolation scheme for a quadrotor unmanned aerial vehicle (UAV) under a data-driven approach using machine learning techniques. In this approach, an implicit model of ...
Fuente, M. J.; Moya, E.; Sainz Palmero, G. I.(Universitat Politècnica de València, 2009-12-02)
[EN] This paper presents a fuzzy models bank to detect and to identify faults using the multimodel technique, calculating a non-linear fuzzy model for each operation mode of the system. A comparison amongst the output of ...
SANCHEZ SARDI, HECTOR(Universitat Politècnica de València, 2014-07-30)
It is designed and tested a model based diagnosis system for a wind turbine modeled in a simulator called FAST and tested with a set of fault scenarios proposed in a benchmark challenge. Based on physical models of the ...