Controlling of artificial neural network for fault diagnosis of photovoltaic array

2011 16th International Conference on Intelligent System Applications to Power Systems, ISAP 2011

Volumn , Issue , 2011, Pages

  Syafaruddin, ^a   Karatepe, E ^c   Hiyama, T ^b  

^a HASANUDDIN UNIVERSITY   (Indonesia)

^b EGE UNIVERSITY   (Turkey)

^c KUMAMOTO UNIVERSITY   (Japan)

Author keywords

fault diagnosis; fault location; PV array; short circuit condition; TFFN

Indexed keywords

ARTIFICIAL NEURAL NETWORK; AUTOMATIC DIAGNOSIS; DIAGNOSIS PROBLEM; FAULT CONDITIONS; FAULT DIAGNOSIS METHOD; FAULT IDENTIFICATIONS; PHOTOVOLTAIC ARRAYS; PHOTOVOLTAIC SYSTEMS; PHYSICAL CONDITIONS; POWER GENERATION SOURCES; PV ARRAYS; PV MODULES; PV SYSTEM; SHORT-CIRCUIT CONDITIONS; TFFN;

AUTOMATION; CONTROL; ELECTRIC FAULT LOCATION; FAILURE ANALYSIS; INTELLIGENT SYSTEMS; NETWORK LAYERS; PHOTOVOLTAIC CELLS; PHOTOVOLTAIC EFFECTS; POWER TRANSMISSION;

NEURAL NETWORKS;

EID: 83655181236     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISAP.2011.6082219     Document Type: Conference Paper

References (6)

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5. Syafaruddin, E. Karatepe, and T. Hiyama, "Feasibility of artificial neural network for maximum power point estimation of non crystalline-Si photovoltaic modules," Proc. of The 15th International Conference on the Intelligent System Applications to Power Systems (ISAP), 2009, Curitiba, Brazil
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