De-Noising Method of Acoustic Emission Signal for Rolling Bearing Based on Adaptive Wavelet Correlation Analysis

摘要: In acoustic emission (AE) detection technique, to avoid the serious noise disturbance in fault diagnosis of rotary machine, a de-noising method based on adaptive wavelet correlation analysis be applied AE signal is proposed. First, signals are decomposed by dyadic transform and at same time divided into available coefficients coefficients. Secondly, reconstructed restore original real after process. Finally, threshold set entropy. On simulation bearing measured using entropy method, traditional lifting three kinds methods compared, results show that can greatly improve rolling effect.