Browsing by Author "Garoudja, Elyes"

Now showing items 1-5 of 5

    • A statistical based approach for fault detection and diagnosis in a photovoltaic system 

      Garoudja, Elyes; harrou, fouzi; Sun, Ying; kara, kamel; Chouder, Aissa; Silvestre Bergés, Santiago (Institute of Electrical and Electronics Engineers (IEEE), 2017)
      Conference report
      Open Access
      This paper reports a development of a statistical approach for fault detection and diagnosis in a PV system. Specifically, the overarching goal of this work is to early detect and identify faults on the DC side of a PV ...

    • An enhanced machine learning based approach for failures detection and diagnosis of PV systems 

      Garoudja, Elyes; Chouder, Aissa; Kara, Kamel; Silvestre Bergés, Santiago (2017-09-14)
      Article
      Open Access
      In this paper, a novel procedure for fault detection and diagnosis in the direct current (DC) side of PV system, based on probabilistic neural network (PNN) classifier, is proposed. The suggested procedure consists of four ...

    • Efficient fault detection and diagnosis procedure for photovoltaic systems 

      Garoudja, Elyes; KARA, KAMEL; Chouder, Aissa; Silvestre Bergés, Santiago; Kichou, Sofiane (Institute of Electrical and Electronics Engineers (IEEE), 2016)
      Conference report
      Restricted access - publisher's policy
      This paper proposes a simple method to detect and diagnose short circuits and open circuits faults in photovoltaic (PV) systems based on the evaluation of three coefficients. The proposed method consists fundamentally on ...

    • Parameters extraction of photovoltaic module for long-term prediction using Artifical Bee Colony optimization 

      Garoudja, Elyes; Kara, Kamel; Chouder, Aissa; Silvestre Bergés, Santiago (Institute of Electrical and Electronics Engineers (IEEE), 2015)
      Conference report
      Restricted access - publisher's policy
      In this paper, a heuristic optimization approach based on Artificial Bee Colony (ABC) algorithm is applied to the extraction of the five electrical parameters of a photovoltaic (PV) module. The proposed approach has ...

    • Statistical fault detection in photovoltaic systems 

      Garoudja, Elyes; Harrou, Fouzi; Sun, Ying; Kara, Kamel; Chouder, Aissa; Silvestre Bergés, Santiago (2017-07-01)
      Article
      Open Access
      Faults in photovoltaic (PV) systems, which can result in energy loss, system shutdown or even serious safety breaches, are often difficult to avoid. Fault detection in such systems is imperative to improve their reliability, ...