Now showing items 1-6 of 6

    • 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 ...
    • Diagnosis Methodology Based on Statistical-time Features and Linear Discriminant Analysis Applied to Induction Motors 

      Saucedo Dorantes, Juan Jose; Osornio Rios, Roque A.; Delgado Prieto, Miquel; Romero Troncoso, René de Jesús (2017)
      Conference report
      Restricted access - publisher's policy
      The development of condition monitoring strategies is necessary to ensure the efficiency and reliability of the operation on electric machines. The feature calculation is an important signal processing step used to obtain ...
    • Diagnosis methodology for identifying gearbox wear based on statistical time feature reduction 

      Saucedo Dorantes, Juan Jose; Delgado Prieto, Miquel; Osornio Rios, Roque A.; Romero Troncoso, René de Jesús (2017-01-01)
      Article
      Open Access
      Strategies for condition monitoring are relevant to improve the operation safety and to ensure the efficiency of all the equipment used in industrial applications. The feature selection and feature extraction are suitable ...
    • Evaluation of novelty detection methods for condition monitoring applied to an electromechanical system 

      Delgado Prieto, Miquel; Cariño Corrales, Jesús Adolfo; Zurita Millán, Daniel; Millán Gonzálvez, Marta; Ortega Redondo, Juan Antonio; Romero Troncoso, René de Jesús (InTech, 2017-05-31)
      Part of book or chapter of book
      Open Access
      Dealing with industrial applications, the implementation of condition monitoring schemes must overcome a critical limitation, that is, the lack of a priori information about fault patterns of the system under analysis. ...
    • Industrial data-driven monitoring based on incremental learning applied to the detection of novel faults 

      Saucedo Dorantes, Juan Jose; Delgado Prieto, Miquel; Osornio Rios, Roque A.; Romero Troncoso, René de Jesús (2020-09-01)
      Article
      Open Access
      The detection of uncharacterized events during electromechanical systems operation represents one of the most critical data challenges dealing with condition-based monitoring under the Industry 4.0 framework. Thus, the ...
    • Thermography-based methodology for multifault diagnosis on kinematic chain 

      Delgado Prieto, Miquel; Cariño Corrales, Jesús Adolfo; Saucedo Dorantes, Juan Jose; Romero Troncoso, René de Jesús; Osornio Rios, Roque A. (2018-12-01)
      Article
      Open Access
      The procedures for condition monitoring of electromechanical systems are undergoing a reformulation, mainly, due to the current thermographic affordability of infrared cameras to be incorporated in industrial applications. ...