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Main bearing fault prognosis in wind turbines based on gated recurrent unit neural networks
(2022-09)
Article
Open AccessThe transition from onshore to offshore wind farms is an imminent fact in the future. It supposes to face hard challenges like difficulties to carry out offshore maintenance operations due to increased downtime (because ... -
Impact of the pandemic on the teaching and research staff at a technological university in Spain: deepening the gender gap
(2022-05-25)
Article
Open AccessThe alteration of the educational model caused by the COVID-19 pandemic has not affected all university faculty equally. This work explores the academic, digital and gender inequalities caused by the pandemic on the teaching ... -
Early fault detection in the main bearing of wind turbines based on Gated Recurrent Unit (GRU) neural networks and SCADA data
(Institute of Electrical and Electronics Engineers (IEEE), 2022)
Article
Open AccessFailures in the main bearings of wind turbines are critical in terms of downtime and replacement cost. Early diagnosis of their faults would lower the levelized cost of wind energy. Thus, this work discusses a gated recurrent ... -
Early fault diagnosis strategy for WT main bearings based on SCADA data and one-class SVM
(2022-06-16)
Article
Open AccessTo reduce the levelized cost of wind energy, through the reduction in operation and maintenance costs, it is imperative that the wind turbine downtime is reduced through maintenance strategies based on condition monitoring. ... -
A deep learning pproach for the morphological recognition of reactive lymphocytes in patients with COVID-19 infection
(2022-05-23)
Article
Open AccessLaboratory medicine plays a fundamental role in the detection, diagnosis and management of COVID-19 infection. Recent observations of the morphology of cells circulating in blood found the presence of particular reactive ... -
Wind turbine main bearing failure prediction using a hybrid neural network
(Institute of Physics (IOP), 2022-05-01)
Article
Open AccessEnergy is necessary for economic growth and improved well-being, but it poses a great challenge to be generated without increasing costs and avoiding pollution. A viable option is wind energy because it is a clean and ... -
Detection of jacket offshore wind turbine structural damage using an 1D-convolutional neural network with a support vector machine layer
(Institute of Physics (IOP), 2022-05-01)
Article
Open AccessBecause offshore wind turbines, particularly their foundations, operate in hostile environments, implementing a structural health monitoring system is one of the best ways to monitor their condition, schedule maintenance, ... -
SCADA data-driven wind turbine main bearing fault prognosis based on principal component analysis
(Institute of Physics (IOP), 2022-05-01)
Article
Open AccessCondition monitoring for wind turbines is essential for the further development of wind farms. Currently, many of the works are focused on the installation of new sensors to predict turbine failures, which raises the cost ... -
Siamese neural networks for damage detection and diagnosis of jacket-type offshore wind turbine platforms
(Multidisciplinary Digital Publishing Institute (MDPI), 2022-04-01)
Article
Open AccessOffshore wind energy is increasingly being realized at deeper ocean depths where jacket foundations are now the greatest choice for dealing with the hostile environment. The structural stability of these undersea constructions ... -
Sparking the interest of girls in computer science via chemical experimentation and robotics: the Qui-Bot H2O case study
(Multidisciplinary Digital Publishing Institute (MDPI), 2022-05-13)
Article
Open AccessWe report a new learning approach in science and technology through the Qui-Bot H2O project: a multidisciplinary and interdisciplinary project developed with the main objective of inclusively increasing interest in computer ... -
Structural assessment under uncertain parameters via the interval optimization method using the slime mold algorithm
(Multidisciplinary Digital Publishing Institute, 2022-02-11)
Article
Open AccessDamage detection of civil and mechanical structures based on measured modal parameters using model updating schemes has received increasing attention in recent years. In this study, for uncertainty-oriented damage ... -
Attention-based deep recurrent neural network to forecast the temperature behavior of an electric arc furnace side-wall
(Multidisciplinary Digital Publishing Institute (MDPI), 2022-02-12)
Article
Open AccessStructural health monitoring (SHM) in an electric arc furnace is performed in several ways. It depends on the kind of element or variable to monitor. For instance, the lining of these furnaces is made of refractory materials ...
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