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http://dx.doi.org/10.5391/JKIIS.2012.22.6.675

Development of Fault Diagnostic Algorithm based on Spectrum Analysis of Acceleration Signal for Wind Turbine System  

Ahn, Sung-Ill (School of Electronic & Information Engineering, Kunsan National Univ.)
Choi, Seong-Jin (Department of Electronics & Information Engineering, Korea Univ.)
Kim, Sung-Ho (Department of Control & Robotics Engineering, Kunsan National Univ.)
Publication Information
Journal of the Korean Institute of Intelligent Systems / v.22, no.6, 2012 , pp. 675-680 More about this Journal
Abstract
Wind energy is currently the fastest growing source of renewable energy used for electrical generation around the world. Wind farms are adding a significant amount of electrical generation capacity. The increase in the number of wind farms has led to the need for more effective operation and maintenance. CMS(Condition Monitoring System) can be used to aid plant operator in achieving these goals. Its aim is to provide operators with information regarding th e health of their machine, which in turn, can help them improve operation efficiency. In this work, wind turbine fault diagnostic algorithm which can diagnose the mass unbalance and aerodynamic asymmetry of the blades is proposed. Proposed diagnostic algorithm utilizes both FFT(Fast Feurier Transform) of the signal from accelerometers installed inside of nacelle and simple diagnostic logic. Furthermore, to verify the applicability of the proposed system, 3W small sized wind turbine system is tested and physical experiments are carried out.
Keywords
Wind power generator; CMS(Condition Monitoring System); Accelerometer; mass unbalance; aerodynamic asymmetry; FFT(Fast Fourier Transform);
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