Denoising of Acoustic Emission of Diamond-Coated Mechanical Seals Wear Based on Empirical Wavelet Transform and Kullback-Leibler Divergence
In order to obtain the pure wear acoustic emission of diamond-coated mechanical seal,the denoising method based on empirical wavelet transform(EWT)and Kullback-Leibler divergence(KLD)was proposed.Firstly,filter bank was calculated with empirical wavelet transform on acquired acoustic emission signal.Then the filter bank was applied to both the acquired acoustic emission signal and background noise acoustic emission signal.The Kullback-Leibler divergences were calculated between the corresponding bands of two signals.The cumulative sum algorithm was employed to find a threshold for determining whether the corresponding band is used for signal reconstruction.The results show that the proposed method can effectively suppress the noise of acoustic emission signals under different working conditions and wear states,and effectively improve the signal-to-noise ratio of wear acoustic emission signals,especially weak wear signals.Compared with the traditional denoising methods,the proposed EWT-KLD method has stronger adaptability and stability for denoising of wear acoustic emission signal under different working conditions,which is of great significance for the monitoring early seal wear and the cumulative wear process of seal.
万方数据
维普
