Recent Submissions

  • Manifold learning algorithms applied to structural damage classification 

    León Medina, Jersson Xavier; Anaya Vejar, Maribel; Tibaduiza Burgos, Diego Alexander; Pozo Montero, Francesc (2021-06-05)
    Article
    Open Access
    A comparative study of four manifold learning algorithms was carried out to perform the dimensionality reduction process within a proposed methodology for damage classification in structural health monitoring (SHM). Isomap, ...
  • Structural damage classification in a jacket-type wind-turbine foundation using principal component analysis and extreme gradient boosting 

    León Medina, Jersson Xavier; Anaya Vejar, Maribel; Parés Mariné, Núria; Tibaduiza Burgos, Diego Alexander; Pozo Montero, Francesc (Multidisciplinary Digital Publishing Institute (MDPI), 2021-04-13)
    Article
    Open Access
    Damage classification is an important topic in the development of structural health monitoring systems. When applied to wind-turbine foundations, it provides information about the state of the structure, helps in maintenance, ...
  • Improved ensemble learning for wind turbine main bearing fault diagnosis 

    Beretta, Mattia; Vidal Seguí, Yolanda; Sepúlveda, José; Porro Martorell, Olga; Cusidó Roura, Jordi (Multidisciplinary Digital Publishing Institute, 2021-08-17)
    Article
    Open Access
    The goal of this paper is to develop, implement, and validate a methodology for wind turbines’ main bearing fault prediction based on an ensemble of an artificial neural network (normality model designed at turbine level) ...
  • SCADA data-driven wind turbine main bearing fault prognosis based on one-class support vector machines 

    Insuasty, Andrés; Tutivén Gálvez, Christian; Vidal Seguí, Yolanda (2021-09)
    Article
    Open Access
    This work proposes a fault prognosis methodology to predict the main bearing fault several months in advance and let turbine operators plan ahead. Reducing downtime is of paramount importance in wind energy industry to ...
  • Evolution in the law of transport noise in England 

    Simona Pujadó, Josep; Vallbé Mumbrú, Marc; Rossell Garriga, Josep Maria; Sanchez Roemmele, Xavier (2021-09-27)
    Article
    Open Access
  • Convolutional neural network for wind turbine failure classification based on SCADA data 

    Puruncajas Maza, Bryan; Alava, Winter; Encalada-Dávila, Ángel; Tutivén Gálvez, Christian; Vidal Seguí, Yolanda (2021-09)
    Article
    Open Access
    As a renewable energy source and an alternative to fossil fuels, the wind power industry is growing rapidly. However, due to harsh weather conditions, wind turbines (WT) still face many failures that raise the price of ...
  • Wind turbine multi-fault detection based on SCADA data via an AutoEncoder 

    Encalada-Dávila, Ángel; Tutivén Gálvez, Christian; Puruncajas Maza, Bryan; Vidal Seguí, Yolanda (2021-09)
    Article
    Open Access
    Nowadays, wind turbine fault detection strategies are settled as a meaningful pipeline to achieve required levels of efficiency, availability, and reliability, considering there is an increasing installation of this kind ...
  • The invisible heartbeat: the beauty and soul of mathematics 

    Mañosa Fernández, Víctor (Taylor & Francis, 2021-08-24)
    Article
    Restricted access - publisher's policy
    In this article we look at mathematical esthetic experience from the point of view of analytical psychology. We analyze the myth that the universe is a harmonic entity that can be described through mathematics, which gives ...
  • Robust polytopic-LPV body-weight-dependent control of blood glucose in type-1 diabetes 

    Vafamand, Navid; Asemani, Mohammad Hassan; Mobayen, Saleh; Pujol Vázquez, Gisela (Institute of Electrical and Electronics Engineers (IEEE), 2021-07)
    Article
    Open Access
    This paper presents a robust H8 polytopic Linear Parameter Varying (LPV) controller to reg- ulate the blood glucose level in type-1 diabetes patients. The suggested approach utilizes an observer-based controller and polytopic ...
  • Semi-active magnetic levitation system for education 

    Pujol Vázquez, Gisela; Vargas do Nascimiento, Alessandro; Mobayen, Saleh; Acho Zuppa, Leonardo (Multidisciplinary Digital Publishing Institute, 2021-06)
    Article
    Open Access
    This paper describes how to construct a low-cost magnetic levitation system (MagLev). The MagLev has been intensively used in engineering education, allowing instructors and students to learn through hands-on experiences ...
  • Electronic Device and Data Processing Method for Soil Resistivity Analysis 

    Acho Zuppa, Leonardo; Pujol Vázquez, Gisela; Gibergans Bàguena, José (2021-06)
    Article
    Open Access
    This paper presents a mathematical algorithm and an electronic device to study soil resistivity. The system was based on introducing a time-varying electrical signal into the soil by using two electrodes and then collecting ...
  • 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
    Open Access
    Structural 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 ...

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