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《Renewable Energy Resources》 2016-05
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Research on wind turbines bearing early fault diagnosis based on EMD and Duffing oscillator

Lv Yuegang;Li Zimin;School of Control and Computer Engineering, North of China Electric Power University;  
A method has put forward for the wind generator for early fault diagnosis of rolling bearing in this paper, which is based on the improved the Duffing oscillator for the model and combined with empirical mode decomposition(EMD) chaos detection system for early effective identification of weak periodic signal. First, the EMD collected vibration signal is decomposed into several intrinsic mode function(IMF) components. Then the IMF containing the characteristic frequency input the chaotic system and as a driving force, through watching the phase trajectory is the reverse process to determine whether to catch early weak bearing fault characteristic signal. Duffing oscillator can not only well restrain noise but also for internal policy power with the frequency of weak periodic signal is very sensitive, signal to noise ratio can reach to-45 d B. The EMD decomposition method to signal a preliminary screening to further improve the detection threshold. Through the experimental data has proved the effectiveness of the proposed method.
【Fund】: 中央高校基本科研业务费专项金(2014ms24)
【CateGory Index】: TM315
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