Fault detection and classification of cigs thin-film pv modules using an adaptive neuro-fuzzy inference scheme

HIGHLIGHTS

• who: Reham A. Eltuhamy and colleagues from the Mechanical Engineering Department, Faculty of Engineering, Helwan University, Cairo, Egypt Jeddah, Saudi Arabia have published the paper: Fault Detection and Classification of CIGS Thin-Film PV Modules Using an Adaptive Neuro-Fuzzy Inference Scheme, in the Journal: Sensors 2023, 1280 of /2023/
• what: The present Article reports on the development of an adaptive neuro-fuzzy inference system (ANFIS) for PV classification based on statistical and mathematical features extracted from outdoor infrared thermography (IRT) and I-V measurements of thin-film PV modules. Previous studies in classifying faults . . .
  

   

  

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