Wavelet Packets Transform processing and Genetic Neuro-Fuzzy classification to detect faulty bearings

Autor: Angela Hernández, Cristina Castejón, Juan Carlos García-Prada, Isidro Padrón, Graciliano Nicolas Marichal

Publikováno v: Advances in Mechanical Engineering, Vol 11 (2019)

A great investment is made in maintenance of machinery in any industry. A big percentage of this is spent both in workers and in materials in order to prevent potential issues with said devices. In order to avoid unnecessary expenses, this article pr

Externí odkaz: https://doaj.org/article/6db46dcbc6dc45b1a8910485751c5cdd

An Artificial Intelligence Approach for Gears Diagnostics in AUVs

Autor: Graciliano Nicolás Marichal, María Lourdes Del Castillo, Jesús López, Isidro Padrón, Mariano Artés

Publikováno v: Sensors, Vol 16, Iss 4, p 529 (2016)

In this paper, an intelligent scheme for detecting incipient defects in spur gears is presented. In fact, the study has been undertaken to determine these defects in a single propeller system of a small-sized unmanned helicopter. It is important to r

Externí odkaz: https://doaj.org/article/7733c34af1b94a999142f19cc038debc

Assessment of Hybrid Renewable Energy Systems to supplied energy to Autonomous Desalination Systems in two islands of the Canary Archipelago

Autor: José A. Rodríguez, Isidro Padrón, Deivis Avila, G.N. Marichal

Publikováno v: Renewable and Sustainable Energy Reviews. 101:221-230

In the following work the hybrid systems with base in the renewable energy (RE) are modeled to compare many different design options based on their technical and economic merits. The power requirements will be guaranteed to reverse osmosis Autonomous

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::39e3cdab796def293b669e64a1b16857
https://doi.org/10.1016/j.rser.2018.11.009

Forecasting of wave energy in Canary Islands based on Artificial Intelligence

Autor: Ramón Quiza, G. Nicolás Marichal, Deivis Avila, Ángela Hernández, Isidro Padrón

Publikováno v: Applied Ocean Research. 101:102189

In this work two mathematical models based on soft computing techniques for the forecasting of the wave energy in the Macaronesian region are exposed. The intelligent systems proposed for the wave energy prediction are Fuzzy Inference Systems (FIS) a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::3a4433b94afc77101a66f04490780920
https://doi.org/10.1016/j.apor.2020.102189

Predicción de la energía renovable proveniente del oleaje en las islas de Fuerteventura y Lanzarote

Autor: G. Nicolás Marichal, José Ángel Rodríguez Hernández, Ángela Hernández López, Isidro Padrón Armas, Deivis Avila Prats

Publikováno v: RUC. Repositorio da Universidade da Coruña
instname
RUO: Repositorio Institucional de la Universidad de Oviedo
Universidad de Oviedo (UNIOVI)
RUO. Repositorio Institucional de la Universidad de Oviedo
RUC: Repositorio da Universidade da Coruña
Universidade da Coruña (UDC)

Jornadas de Automática (37ª. 2017. Gijón)
Este trabajo ha sido cofinanciado por fondos FEDER, Programa Interreg MAC 2014-2020, en el marco del proyecto DESAL+ (MAC/1.1a/094)”y por el Proyecto Nacional DPI2015-69325- C2-2-R (MINECO/FEDER, UE

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::be83f4b536508ee51089feace5316e11
https://hdl.handle.net/2183/25752