CoDAlab - Control, Dades i Intel·ligència Artificial
Collections in this community
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Altres [11]
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Articles de revista [293]
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Capítols de llibre [44]
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Dataset [1]
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Llibres [2]
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Reports de recerca [29]
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Recent Submissions
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Early detection of Gearbox failures in wind turbines using artificial neural networks and SCADA data
(Springer, 2024-07-26)
Part of book or chapter of book
Restricted access - publisher's policyThis paper explores the application of artificial neural networks (ANNs) for the early detection of gearbox failures in wind turbines, using operational SCADA data for predictive analysis. Gearbox failures, which can ... -
A Finite-time control design for the discrete-time chaotic logistic equations
(Multidisciplinary Digital Publishing Institute (MDPI), 2024-08)
Article
Open AccessFinite-time control theory has been widely used as a mathematical tool to design robust controllers. By manipulating the finite-time convergence proof of this theory, we developed a new control design appropriately tuned ... -
Wind turbine gearbox condition monitoring through the sequential analysis of industrial SCADA and vibration data
(Elsevier, 2024-12-02)
Article
Open AccessThe operation & maintenance expenditure for a wind farm project can reach the impressive share of 30% of the total costs. This matter of fact motivates the need for optimal operation & maintenance, which is estimated to ... -
Incremental minimum distortion embedding for online structural damage classification
(2024-07)
Article
Open AccessThe damage detection problem in structures diminishes the maintenance cost and extends the life of the structures. Online structural damage classification is a relevant topic in structural health monitoring since monitoring ... -
Detection of crack bar deterioration at offshore wind turbine supports using generative adversarial networks and autoencoders
(Institute of Physics (IOP), 2024-06-01)
Article
Open AccessThis work focuses on the structural health monitoring of jacket-type foundations used by offshore wind turbines. A vibration-only response mechanism based on accelerometer data is specifically suggested. This work, based ... -
A review of prognostics and health management in wind turbine components
(2024-06-27)
Article
Open AccessWind turbines (WTs) play an essential role in renewable energy generation, and ensuring their reliable operation is essential for sustainable energy production and reduction of levelized cost of energy. In this context, ... -
Structural health monitoring in a jacket-type wind turbine foundation: a minimum distortion embedding approach
(Scipedia, 2023)
Conference report
Open AccessThe extreme environmental conditions to which offshore wind turbine foundations are subjected make reliable monitoring methods necessary to predict possible structural damage. A data-driven approach was used to perform the ... -
A deep learning approach for automatic recognition of abnormalities in the cytoplasm of neutrophils
(Elsevier, 2024-06)
Article
Open AccessBackground and objectives: This study aims to develop and evaluate NeuNN, a system based on convolutional neural networks (CNN) and generative adversarial networks (GAN) for the automatic identification of normal neutrophils ... -
Desarrollo y validación de sistemas de monitorización inteligente para aerogeneradores
(2024-05-16)
Article
Open Access -
Challenges on prognostics and health management for wind turbine components
(Institute of Physics (IOP), 2024-04-01)
Article
Open AccessThis paper explores the applicability of prognostics and health management (PHM) for wind turbines (WTs), presenting the PHM approach along with challenges and opportunities in the context of WT components. First, the PHM ... -
Challenges on prognostics and health management for wind turbine components
(2024)
Conference lecture
Open Access -
Wind turbine gearbox condition monitoring using vibration data and Mel-Frequency Cepstral Coefficients
(Scipedia, 2023)
Conference report
Open AccessA new methodology for wind turbine condition monitoring that utilizes vibration data and Mel-frequency cepstral coefficients (MFCCs) is being developed to accurately assess the condition of the wind turbine gearbox. ...
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