DocumentCode
735972
Title
Smart diagnosis algorithm of the open-circuit fault in a photovoltaic generator
Author
Rezgui, Wail ; Mouss, Nadia Kinza ; Mouss, Leila-Hayet ; Mouss, Mohamed Djamel ; Amirat, Yassine ; Benbouzid, Mohamed
Author_Institution
LAP-Lab., Univ. of Batna, Batna, Algeria
fYear
2015
fDate
25-27 May 2015
Firstpage
1
Lastpage
5
Abstract
This article proposed a new smart diagnosis algorithm of the open-circuit fault in a PV generator. For the faults conventional diagnosis, it used the analysis of the actual operation parameters of the PV generator. For the faults smart diagnosis, it based on the optimization of SVM technique by the neural network for the classification of observations located on its margin. The resulting algorithm can ensure a better monitoring function of the open-circuit fault within the PV generator, with a high classification rate and a low error rate.
Keywords
fault diagnosis; neural nets; optimisation; photovoltaic power systems; power engineering computing; power generation faults; support vector machines; SVM technique optimization; error rate; faults conventional diagnosis; monitoring function; neural network; observation classification; open circuit fault; photovoltaic generator; smart diagnosis algorithm; Artificial neural networks; Classification algorithms; Conferences; Generators; Photovoltaic systems; Support vector machines; Diagnosis; NN; Open-circuit fault; PV generator; SVM;
fLanguage
English
Publisher
ieee
Conference_Titel
Control, Engineering & Information Technology (CEIT), 2015 3rd International Conference on
Conference_Location
Tlemcen
Type
conf
DOI
10.1109/CEIT.2015.7233125
Filename
7233125
Link To Document