Wind turbine bearing is one of the key components in the whole turbine systems. Oil analysis is one of the most widely used condition monitoring methods. However, oil analysis can only detect certain defect or severe problems through analysing the debris and particles present in the oil. In this paper, vibration analysis is used to evaluate the operating wind turbine bearing condition. More specifically, firstly, the field measured vibration data is filtered using wavelet decomposition method. Then, the number of typical impulse signal is counted from the wavelet filtered data. Finally, a comparison between good and deteriorating turbine bearings has been made to show their differences.
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