Optimization of SVM Classifier by k-NN for the Smart Diagnosis of the Short-Circuit and Impedance Faults in a PV Generator

@inproceedings{Rezgui2017OptimizationOS,
  title={Optimization of SVM Classifier by k-NN for the Smart Diagnosis of the Short-Circuit and Impedance Faults in a PV Generator},
  author={Wail Rezgui and Kinza-Nadia Mouss and Le{\"i}la-Hayet Mouss and Mohamed Djamel Mouss and Yassine Amirat and Mohamed Benbouzid},
  year={2017}
}
This paper deals with a new algorithm allowing short-circuit and impedance faults smart diagnosis of PV generators. It is based on the use of the SVM technique for the classification of observations not located in its margin, otherwise the proposed algorithm is used a k-NN method. A PV generator database containing observations distributed over classes is… CONTINUE READING