Research on Fault Diagnosis Method of Wind Turbine Rolling Bearing Based on EMD and Hilbert Spectrum
Rolling bearing is a key component of wind turbine drive system.The poor service conditions lead to its high failure rate and large economic loss.It is of important practical significance for wind turbine rolling bearing fault diagnosis.Aiming at the limitation of traditional envelope spectrum analysis in complex fault diagnosis,a new method of rolling bearing fault diagno-sis is proposed by combining EMD and Hilbert spectrum.The measured vibration signal is decomposed by wavelet to obtain the high-frequency coefficient,and the high-frequency coefficient is transformed by Hilbert transform to obtain the envelope signal.The envelope signal is decomposed by EMD,the instantaneous frequency of each IMF component is calculated,and the useful IMF component is selected combined with the fault frequency.The local Hilbert marginal spectrum for fault diagnosis is ob-tained.This method is applied to the fault vibration signal analysis of the outer ring and inner ring of the rolling bearing of the wind turbine.Its performance in extracting the fault frequency of the rolling bearing is better than the traditional envelope spec-trum analysis method.
万方数据
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