Mohamed Lamine Fadda, Abdelkrim Moussaoui, "Faults Detection and Diagnosis Approach Using PCA and SOM Algorithm in PMSG-WT System," WSEAS Transactions on Systems, vol. 16, pp. 159-167, 2017, DOI:
Mohamed Lamine Fadda, Abdelkrim Moussaoui. Faults Detection and Diagnosis Approach Using PCA and SOM Algorithm in PMSG-WT System.
WSEAS Transactions on Systems. 2017;16:159-167.
WSEAS Transactions on Systems
Print ISSN: 1109-2777, E-ISSN: 2224-2678
Volume 16, 2017
Faults Detection and Diagnosis Approach Using PCA and SOM Algorithm in PMSG-WT System
Authors: ,
Abstract: In this papers, a new approach for faults detection and diagnosis in observable data system wind turbine - permanent magnet synchronous generator (WT-PMSG), the studying objective, illustrate the combination (SOM- PCA) to build Multi-local-PCA models faults detection in system (WT-PMSG), the performance of the method suggested to faults detection and diagnostic in experimental data, finding good results in simulation experiment.
Pages: 159-167 WSEAS Transactions on Systems, ISSN / E-ISSN: 1109-2777 / 2224-2678, Volume 16, 2017, Art. #19 DOI: *As the DOI is a unique identifier, it is already available in the pdf version.
**The DOI link will be activated in the first midst of January 2026.
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