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Published Article / Digital Object Identifier: 10.1109/EEEIC.2012.6221389 ENY-ARTICLE-2012-338

Condition Monitoring & Fault Diagnosis System for Offshore Wind Turbines

Ouadie, B (ESIGELEC / IRSEEM- EA 4353 Rouen- France) ; Heraud, N (University of Corsica- SPE CNRS UMR 6134 Corte, France) ; Leonowicz, Z (Wroclaw University of Technology, Poland)


Abstract: Due to the technological development, the electronic power progress and economic stake, through the use of Wound Rotor Induction Motor (WRIM) has taken more and more places in different domains (transport, energy production, electric drive..,) thanks to their robustness, efficiency and lower costs. Despite the performed work researches and the improvement that has been brought, these machines still remain the potential seats of failures both in stator and rotor levels. Consequently, WRIM faults detection is currently one of the centres of interest of several researches of both academic and industrial laboratories. In fact, this article addresses this problem by the use of Principal Components Analysis (PCA) for faults detection in Offshore Wind Turbine Generator (OWTG). An accurate analytic modelling of healthy and faulted OWTG is suggested to perform the data matrix needed for PCA method. Tests were achieved using a numeric simulator on Matlab/Simulink software. Analysis of OWTG simulation proves the efficiency of PCA method. Several simulation results will be presented and discussed.

Keyword(s): diagnosis ; monitoring ; OWTG modelling ; Principal Components Analysis ; Wind turbine
Note: Environment and Electrical Engineering (EEEIC), 2012 11th International Conference on Publication Year: 2012 , Page(s): 13 - 17 INVITED PAPER

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Cited by: try citation search for ENY-ARTICLE-2012-338; Digital Object Identifier: 10.1109/EEEIC.2012.6221389

Rekord stworzony 2012-08-03, ostatnia modyfikacja 2012-08-03

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