关键词: 小波阈值, 小波包, 能量向量, 滚动轴承, 故障诊断

Abstract: This article proposes a new method for fault diagnosis in order to accurately determine the fault of rolling bearing. The vibration signal of rolling bearing is decomposed by using the improved wavelet threshold method, that the vibration signal is decomposed and reconstructed by using wavelet packet, the signal feature in every frequency band is extracted as the samples of fault diagnosis to judge bearing fault location according to the energy distribution within each frequency band features. The typical faults of SKF 6205-2RS bearing is simulated and verified in the MATLAB environment, the results prove that the de-noising effect of improved threshold method is better than the traditional method and wavelet packet can accurately extract signal fault characteristics, which can improve the accuracy and effectiveness of bearing fault detection.

Key words: wavelet threshold, wavelet packet, energy vectors, rolling bearings, fault diagnosis