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award-winning FDI solution in wind turbines

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award-winning FDI solution in wind turbines


Nassim (view profile)


The matlab code of the solution of "FDI Design Competition for Wind Turbines" (winning 1st place)

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This code presents the best solution of the international competition to design an automatic fault detection and isolation for windturbines,

For more informations about this competition please refer to:

A fault diagnosis approach based on Support Vector Machines(SVM) is designed for wind Turbines case, The article written about this approach is:

N. Laouti, N. Sheibat-Othman, and S. Othman. Support vector machines for fault detection in wind turbines.
In Proceedings of IFAC World Congress 2011, pages 7067–7072, Milan, Italy, August-September 2011.

Please indicate this reference if you use the code to publish any information
The Paper montioning wind turbines model(Benchmark) and faults requirements si:

Peter Fogh Odgaard, Jakob Stoustrup, and Michel Kinnaert. Fault tolerant control of wind turbines a benchmark model. In Proc.7th IFAC Symposium
on Fault Detection, Supervision and Safety of Technical Processes, pages 155–160, Barcelona, Spain, 2009.

It is recommended to read above articles before starting the simulation.

Phd student Nassim Laouti

MATLAB release MATLAB 7.8 (R2009a)
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Comments and Ratings (6)
02 Jan 2017 Spec

Spec (view profile)

03 Mar 2016 keting hu

Great job!

06 Feb 2016 Kamal El Amraoui

08 Jul 2014 hariharan mahalingam

great job

04 Apr 2012 Erdal Bizkevelci

24 Feb 2012 Pieter Mosterman

This submission proved best at detecting a variety of faults in a Simulink benchmark model of a wind turbine. Great job!

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