Now showing items 1-9 of 9

    • A novel deep learning-based diagnosis method applied to power quality disturbances 

      González Abreu, Artvin Darién; Delgado Prieto, Miquel; Osornio Rios, Roque A.; Saucedo Dorantes, Juan Jose; Romero Troncoso, René de Jesús (2021-05-02)
      Article
      Open Access
      Monitoring electrical power quality has become a priority in the industrial sector background: avoiding unwanted effects that affect the whole performance at industrial facilities is an aim. The lack of commercial equipment ...
    • Advances in power quality analysis techniques for electrical machines and drives: a review 

      González Abreu, Artvin Darién; Osornio Rios, Roque A.; Jaen Cuellar, Arturo Yosimar; Delgado Prieto, Miquel; Antonino Daviu, Jose Alfonso; Karlis, Athanasios (2022-03-01)
      Article
      Open Access
      The electric machines are the elements most used at an industry level, and they represent the major power consumption of the productive processes. Particularly speaking, among all electric machines, the motors and their ...
    • Analysis of machine learning based condition monitoring schemes applied to complex electromechanical systems 

      Arellano Espitia, Francisco; González Abreu, Artvin Darién; Delgado Prieto, Miquel; Saucedo Dorantes, Juan Jose; Osornio Rios, Roque A. (Institute of Electrical and Electronics Engineers (IEEE), 2020)
      Conference report
      Restricted access - publisher's policy
      In the modern industry framework, the application of condition monitoring schemes over electromechanical systems is being subjected to demanding requirements. Currently, the massive digitalization of industrial assets ...
    • Deep learning based condition monitoring approach applied to power quality 

      González Abreu, Artvin Darién; Saucedo Dorantes, Juan Jose; Osornio Rios, Roque A.; Arellano Espitia, Francisco; Delgado Prieto, Miquel (Institute of Electrical and Electronics Engineers (IEEE), 2020)
      Conference report
      Restricted access - publisher's policy
      Condition monitoring applied to power quality involves several techniques and procedures for the assessment of the electrical signal. Data-driven approaches are the most common methodologies supported on data and signal ...
    • Deep-compact-clustering based anomaly detection applied to electromechanical industrial systems 

      Arellano Espitia, Francisco; Delgado Prieto, Miquel; González Abreu, Artvin Darién; Saucedo Dorantes, Juan Jose; Osornio Rios, Roque A. (Multidisciplinary Digital Publishing Institute (MDPI), 2021-08-30)
      Article
      Open Access
      The rapid growth in the industrial sector has required the development of more productive and reliable machinery, and therefore, leads to complex systems. In this regard, the automatic detection of unknown events in machinery ...
    • Estudio de materiales “relaxores”: influencia de los defectos en la estructura perovskita y el carácter “relaxor” 

      García Zaldívar, Osmany; Pelaíz Barranco, Aimé; Calderón Piñar, Francisco de Paula; González Abreu, Artvin Darién; de los Santos Guerra, José; Mendoza Álvarez, María Eugena; Hall, David A.; Aragó López, Carmen; Marqués Ponce, Manuel Ignacio; Fernández Afonso, Yilian; Díaz Méndez, Rogelio; López Noda, René; García García, José Eduardo; Ochoa Guerrero, Diego A. (Servei de Publicacions de la Facultad de Ingeniería Eléctrica de la Universidad de Oriente de Santiago de Cuba (Cuba)., 2015-01-01)
      Article
      Open Access
      En el trabajo se estudian sistemas ferroeléctricos de circonato titanato de plomo modificado con lantano (PLZT) que presentan un marcado carácter “relaxor”. Estos sistemas presentan características en la respuesta dieléctrica ...
    • Novelty detection on power quality disturbances monitoring 

      González Abreu, Artvin Darién; Delgado Prieto, Miquel; Saucedo Dorantes, Juan Jose; Osornio Rios, Roque A. (2021-09-01)
      Article
      Restricted access - publisher's policy
      Complex disturbance patterns take place over the corresponding power supply networks due to the increased complexity of electrical loads at industrial plants. Such complex patterns are the result of a combination of simpler ...
    • Power disturbance monitoring through techniques for novelty detection on wind power and photovoltaic generation 

      González Abreu, Artvin Darién; Osornio Rios, Roque Alfredo; Elvira Ortiz, David Alejandro; Jaen Cuellar, Arturo Yosimar; Delgado Prieto, Miquel; Antonino Daviu, Jose Alfonso (2023-03-07)
      Article
      Open Access
      Novelty detection is a statistical method that verifies new or unknown data, determines whether these data are inliers (within the norm) or outliers (outside the norm), and can be used, for example, in developing classification ...
    • Uncertainty analysis for industries investing in energy equipment and renewable energy sources 

      Urbano González, Eva María; González Abreu, Artvin Darién; Kampouropoulos, Konstantinos; Romeral Martínez, José Luis (2021)
      Conference report
      Open Access
      This paper studies the optimal design and operation of new energy equipment including renewable energy sources for prosumer industries. In order to augment the interest of industries in performing energy actions, the ...