Exploració per autor "Vidal Seguí, Yolanda"
Ara es mostren els items 176-195 de 211
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Texture analysis for wind turbine fault detection
Mujica Delgado, Luis Eduardo; Ruiz Ordóñez, Magda; Acho Zuppa, Leonardo; Alférez Baquero, Edwin Santiago; Tutivén Gálvez, Christian; Vidal Seguí, Yolanda; Rodellar Benedé, José (Curran, 2016)
Text en actes de congrés
Accés obertThe future of wind energy industry passes through the use of larger and more flexible wind turbines in remote locations, which are increasingly offshore to benefit stronger and more uniform wind conditions. Cost of operation ... -
Trends in condition monitoring for pitch bearings
Sandoval Núñez, Diego Aníbal; Leturiondo, Urko; Pozo Montero, Francesc; Vidal Seguí, Yolanda; Salgado, Óscar (2019-12)
Article
Accés restringit per política de l'editorialThe value of wind power generation for energy sustainability in the future is undeniable. Since operation and maintenance activities account for a sizeable portion of the cost associated with offshore wind turbine operation, ... -
Trends in condition monitoring of pitch bearings
Sandoval Núñez, Diego Aníbal; Leturiondo, Urko; Pozo Montero, Francesc; Vidal Seguí, Yolanda; Salgado, Óscar (2019)
Text en actes de congrés
Accés obertThe value of wind power generation for energy sustainability in the future is undeniable. Since operation and maintenance activities take a sizeable portion of the cost associated with offshore wind turbines operation, ... -
Tutorials Maple
Parés Mariné, Núria; Pozo Montero, Francesc; Vidal Seguí, Yolanda (Universitat Politècnica de Catalunya, 2008)
Problema, exercici
Accés obert -
Tutorials Maple
Parés Mariné, Núria; Pozo Montero, Francesc; Vidal Seguí, Yolanda (Universitat Politècnica de Catalunya, 2008)
Altres
Accés obert -
Unsupervised damage detection for offshore jacket wind turbine foundations based on an autoencoder neural network
Feijóo, Maria del Cisne; Zambrano, Yovana; Vidal Seguí, Yolanda; Tutivén Gálvez, Christian (Multidisciplinary Digital Publishing Institute (MDPI), 2021-05-11)
Article
Accés obertStructural health monitoring for offshore wind turbine foundations is paramount to the further development of offshore fixed wind farms. At present time there are a limited number of foundation designs, the jacket type ... -
Updated Lagrangian formulation for corrected smooth particle hydrodynamics
Huerta, Antonio; Vidal Seguí, Yolanda; Bonet Carbonell, Javier (2006-12)
Article
Accés obertSmooth Particle Hydrodynamics (SPH) are, in general, more robust than finite elements for large distortion problems. Nevertheless, updating the reference configuration may be necessary in some problems involving extremely ... -
Uso del vídeo (pencast) para el aprendizaje de matemáticas: La experiencia en la UPC
Pozo Montero, Francesc; Parés Mariné, Núria; Vidal Seguí, Yolanda (2013)
Comunicació de congrés
Accés obert -
Variable structure strategy to avoid torque control saturation of a wind turbine in the presence of faults
Tutivén Gálvez, Christian; Vidal Seguí, Yolanda; Acho Zuppa, Leonardo; Rodellar Benedé, José (2016)
Text en actes de congrés
Accés obertEvery physical actuator is subject to saturation. It has been well recognized that, when the actuator saturates, the performance of the closed-loop system (designed without considering actuator saturation) may seriously ... -
Vibration-Response-Only Structural Health Monitoring for Offshore Wind Turbine Jacket Foundations via Convolutional Neural Networks
Puruncajas Maza, Bryan; Vidal Seguí, Yolanda; Tutivén Gálvez, Christian (Multidisciplinary Digital Publishing Institute (MDPI), 2020-06)
Article
Accés obertThis work deals with structural health monitoring for jacket-type foundations of offshore wind turbines. In particular, a vibration-response-only methodology is proposed based on accelerometer data and deep convolutional ... -
Wind turbine blade damage detection using data-driven techniques
Velasco, Doménica; Guzmán, Luis; Puruncajas Maza, Bryan; Tutivén Gálvez, Christian; Vidal Seguí, Yolanda (2023-07-01)
Article
Accés obertThis work presents a simple damage detection strategy for wind turbine blades. In particular, a vibration analysis-based damage detection methodology is proposed that requires only healthy data and detects damage in different ... -
Wind turbine condition monitoring strategy through multiway PCA and multivariate inference
Pozo Montero, Francesc; Vidal Seguí, Yolanda; Salgado, Óscar (2018-03-26)
Article
Accés obertThis article states a condition monitoring strategy for wind turbines using a statistical data-driven modeling approach by means of supervisory control and data acquisition (SCADA) data. Initially, a baseline data-based ... -
Wind turbine fault detection and classification by means of image texture analysis
Ruiz Ordóñez, Magda; Mujica Delgado, Luis Eduardo; Alférez Baquero, Edwin Santiago; Acho Zuppa, Leonardo; Tutivén Gálvez, Christian; Vidal Seguí, Yolanda; Rodellar Benedé, José; Pozo Montero, Francesc (2018-07)
Article
Accés obertThe future of the wind energy industry passes through the use of larger and more flexible wind turbines in remote locations, which are increasingly offshore to benefit stronger and more uniform wind conditions. The cost ... -
Wind turbine fault detection through principal component analysis and multivariate statistical inference
Pozo Montero, Francesc; Vidal Seguí, Yolanda; Acho Zuppa, Leonardo (2016)
Comunicació de congrés
Accés obertThis work addresses the problem of online fault detection of an advanced wind turbine benchmark under actuators (pitch and torque) and sensors (pitch angle measurement) faults of different type: fixed value, gain factor, ... -
Wind turbine fault detection through principal component analysis and statistical hypothesis testing
Pozo Montero, Francesc; Vidal Seguí, Yolanda (2016-10-31)
Article
Accés obertThis work addresses the problem of online fault detection of an advanced wind turbine benchmark under actuators (pitch and torque) and sensors (pitch angle measurement) faults of different type. The fault detection scheme ... -
Wind turbine fault detection through principal component analysis and statistical hypothesis testing
Pozo Montero, Francesc; Vidal Seguí, Yolanda (MDPI AG, 2016)
Article
Accés obertThis work addresses the problem of online fault detection of an advanced wind turbine benchmark under actuators (pitch and torque) and sensors (pitch angle measurement) faults of different type. The fault detection scheme ... -
Wind turbine fault detection through principal component analysis and statistical hypothesis testing
Pozo Montero, Francesc; Vidal Seguí, Yolanda (2016)
Article
Accés obertThis paper addresses the problem of online fault detection of an advanced wind turbine benchmark under actuators (pitch and torque) and sensors (pitch angle measurement) faults of different type: fixed value, gain factor, ... -
Wind turbine fault detection using highly imbalanced real SCADA data
Velandia Cardenas, Cristian; Vidal Seguí, Yolanda; Pozo Montero, Francesc (2021-03-20)
Article
Accés obertWind power is cleaner and less expensive compared to other alternative sources, and it has therefore become one of the most important energy sources worldwide. However, challenges related to the operation and maintenance ... -
Wind turbine health monitoring based on accelerometer data
Vidal Seguí, Yolanda; Rubias, José Luis; Pozo Montero, Francesc (2019)
Text en actes de congrés
Accés obertA structural health monitoring (SHM) system verifies the mechanical state of a structure toensure its proper functioning and determines whether it needs some kind of maintenance. Thus, SHMfor wind turbines (WT) in remote ... -
Wind turbine main bearing failure prediction using a hybrid neural network
Tutivén Gálvez, Christian; Vidal Seguí, Yolanda (Institute of Physics (IOP), 2022-05-01)
Article
Accés obertEnergy 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 ...