Recent Submissions

  • Support vector machine based novelty detection and FDD framework applied to building AHU systems 

    Martínez Viol, Víctor; Martínez Viol, Víctor; Urbano González, Eva María; Urbano González, Eva María; Kampouropoulos, Konstantinos; Kampouropoulos, Konstantinos; Delgado Prieto, Miquel; Delgado Prieto, Miquel; Romeral Martínez, José Luis; Romeral Martínez, José Luis (Institute of Electrical and Electronics Engineers (IEEE), 2020)
    Conference report
    Restricted access - publisher's policy
    The increasing energy consumption of heating, ventilation and air conditioning (HVAC) systems is one of the main concerns in the building sector. Fault detection technologies are now indispensable for energy efficiency and ...
  • Future European energy markets and Industry 4.0 potential in energy transition towards decarbonization 

    Urbano González, Eva María; Martínez Viol, Víctor; Kampouropoulos, Konstantinos; Romeral Martínez, José Luis (AEDERMACP (European Association for the Development of Renewable Energies and Power Quality), 2020)
    Conference report
    Open Access
    Climate change, economic growth and fossil fuel price volatility are forcing governments and thus society to adopt economical and technical measures in the energy sector to reach sustainability. These actions can be seen ...
  • HVAC early fault detection using a fuzzy logic based approach 

    Martínez Viol, Víctor; Urbano González, Eva María; Delgado Prieto, Miquel; Romeral Martínez, José Luis (AEDERMACP (European Association for the Development of Renewable Energies and Power Quality), 2020)
    Conference report
    Open Access
    The need for improving the energy efficiency of existing buildings has driven to the implementation of building energy management systems (BEMS) that can help facilities manager to discover and identify problems that may ...
  • Vector control of crosswise saturating five-phase PMaSynRM in wide speed range 

    Michalski, Tomasz Dobromir; Acosta Cambranis, Fernando Geovany; Romeral Martínez, José Luis; Zaragoza Bertomeu, Jordi (Institute of Electrical and Electronics Engineers (IEEE), 2020)
    Conference report
    Restricted access - publisher's policy
    This paper deals with the realization of a five-phase cross saturating permanent magnet assisted synchronous reluctance motor (PMaSynRM) drive with vector control based on maximum torque per ampere (MTPA) and flux weakening ...
  • Non-Intrusive parameter identification of a three-phase rectifier based on an optimization approach 

    Rojas Dueñas, Gabriel; Riba Ruiz, Jordi-Roger; Moreno Eguilaz, Juan Manuel; Candelo Zuluaga, Carlos Andres (Institute of Electrical and Electronics Engineers (IEEE), 2020)
    Conference report
    Restricted access - publisher's policy
    Six-pulse diode rectifiers are widely used in many power conversion systems. In this work a non-intrusive approach for parameter identification of such power device is presented and its accuracy and performance is evaluated ...
  • An optimal tracking power sharing controller for inverter-based generators in grid-connected mode 

    Patarroyo Montenegro, Juan; Castellà Rodil, Marc; Andrade Rengifo, Fabio; Kampouropoulos, Konstantinos; Romeral Martínez, José Luis; Vasquez-Plaza, Jesus D. (2019)
    Conference report
    Restricted access - publisher's policy
    In this work, an optimal power sharing controller for a three-phase Inverter-based Generator (IG) in a synchronous d-q reference frame is presented. The optimization of this controller is computed using a Linear-Quadratic ...
  • 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 ...
  • 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 ...
  • Supervision and fault detection system for photovoltaic installations based on classification algorithms 

    Castellà Rodil, Marc; Kampouropoulos, Konstantinos; Urbano González, Eva María; Romeral Martínez, José Luis (2020)
    Conference report
    Open Access
    This article presents a methodology for the supervision and fault detection on photovoltaic installation, through the information gathered by their SCADA system. The proposed methodology consists of the use of a multi-clustering ...
  • A novel methodology for determination of soiling on PV panels by means of grey box modelling 

    Castellà Rodil, Marc; Patarroyo Montenegro, Juan; Kampouropoulos, Konstantinos; Andrade Rengifo, Fabio; Romeral Martínez, José Luis (2019)
    Conference report
    Restricted access - publisher's policy
    This article presents a novel methodology for the determination of soiling appearance on photovoltaic panels by means of data analysis of their energy production and operating conditions. The proposed methodology is based ...
  • Black-box modelling of a DC-DC buck converter based on a recurrent neural network 

    Rojas Dueñas, Gabriel; Riba Ruiz, Jordi-Roger; Moreno Eguilaz, Juan Manuel; Kadechkar, Akash; Gómez Pau, Álvaro (Institute of Electrical and Electronics Engineers (IEEE), 2020)
    Conference lecture
    Open Access
    Neural network; Power converter; Training; Prediction; System identification; Black-box model
  • Methodology for lighting optimization applied to photocatalytic reactors 

    Tapia Tlatelpa, Tecilli; Trull Silvestre, José Francisco; Sala Caselles, Vicenç; Romeral Martínez, José Luis (Institute of Electrical and Electronics Engineers (IEEE), 2019)
    Conference lecture
    Open Access
    Replacement of conventional UV-lamps used in photocatalytic reactors by UV-LED sources with lower energy consumption and larger versatility has been proposed recently; However, the implementation of these types of sources ...

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