WSEAS Transactions on Systems


Print ISSN: 1109-2777
E-ISSN: 2224-2678

Volume 16, 2017

Notice: As of 2014 and for the forthcoming years, the publication frequency/periodicity of WSEAS Journals is adapted to the 'continuously updated' model. What this means is that instead of being separated into issues, new papers will be added on a continuous basis, allowing a more regular flow and shorter publication times. The papers will appear in reverse order, therefore the most recent one will be on top.


Volume 16, 2017



Faults Detection and Diagnosis Approach Using PCA and SOM Algorithm in PMSG-WT System

AUTHORS: Mohamed Lamine Fadda, Abdelkrim Moussaoui

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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.

KEYWORDS: WT, PMSG , FDI, Diagnostic, SOM, PCA, Multi-PCA, FFT

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WSEAS Transactions on Systems, ISSN / E-ISSN: 1109-2777 / 2224-2678, Volume 16, 2017, Art. #19, pp. 159-167


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