关键词: 维格纳分布(WVD)；自适应短时傅里叶变换(ASTFT)；交叉项；时频分布；故障诊断

Abstract:

The principles and characteristic frequency of typical faults of rolling bearings were analyzed,and a new fault diagnosis method to suppress cross-terms of WVD using adaptive short-time Fourier transform (ASTFT) spectrum was put forward. Firstly, the signal ASTFT spectrum which can determine the signal component positions in the time-frequency plane was obtained. Then, window function, ASTFT spectrum, was selected to process the signal WVD. Thus the cross-term interference can be effectively restrained. The simulation results show that a better resolution and more effective suppression of cross-term interference can be obtained. At last, the proposed method is applied to the fault diagnosis of bearing, the experimental results show the proposed method is effective in feature extraction. 

Key words: Wigner-Ville distribution(WVD)；adaptive short-time Fourier transform (ASTFT)；cross-term；time-frequency distribution；fault diagnosis