A Smart Algorithm for the Diagnosis of Short-Circuit Faults in a Photovoltaic Generator
Résumé
This paper deals with a smart algorithm allowing short-circuit faults detection and diagnosis of PV generators. The proposed algorithm is based on the hybridization of a support vector machines (SVM) technique optimized by a k-NN tool for the classification of observations on the classifier itself or located in its margin. To test the proposed algorithm performance, a PV generator database containing observations distributed over classes is used for simulation purposes.
Origine | Fichiers produits par l'(les) auteur(s) |
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