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Z. Ye, Y. Ling, B. Lehman, J. de Palma, J. Mosesian and R. Lyons, “Decision tree-based fault detection and classification in solar photovoltaic arrays,” in Applied Power Electronics Conference and Exposition (APEC), 2012 Twenty-Seventh Annual IEEE, 2012, pp. 93-99.

has been cited by the following article:

• TITLE: Comprehensive Modulation and Classification of Faults and Analysis Their Effect in DC Side of Photovoltaic System

  AUTHORS: Mehrdad Davarifar, Abdelhamid Rabhi, Ahmed El Hajjaji

  KEYWORDS: Photovoltaic Systems; Modeling; Electrical Fault; Fault Detection

  JOURNAL NAME: Energy and Power Engineering, Vol.5 No.4B, October 15, 2013

  ABSTRACT: The first step in automatic supervision, condition monitoring and fault detection of photovoltaic system is recognition, exploration and classification of all possible faults that maybe happen in the system. This paper aims to perceive, classified, simulate and discus all electrical faults in DC side of photovoltaic system, regarding electrical voltage and current inspections. For that, simplified hybrid model of photovoltaic panel in MATLAB environment is used. Investigation and classification of each type of faults is down and the effects of the faults are illustrated in this paper. Flash test are applied to improved electrical model. Current-Voltage curves signature are interpreted and investigated in simulation environment.