Analysis of non-stationary signal of the sudden unbalanced spindle based on wavelet noise reduction and short-time Fourier transform
Hu Zhenbang1 Xu Muxun1,2 Jiang Gedong1,2 Zhang Dongsheng1
1. School of Mechanical Engineering, Xi’an Jiaotong University, Xi’an 710049, China;2. State Key Laboratory for Manufacturing Systems Engineering, Xi’an Jiaotong University, Xi’an 710049, China
Since the response of a spindle with sudden unbalance shows non-stationary characteristics, it cannot be extracted by signal processing methods using traditional Fourier transform. To tackle this problem, a new signal extracting method combining wavelet de-noising technique and the short time Fourier transform method is proposed in this paper. Firstly, the non-stationary signal of the spindle is filtered and reconstructed by the wavelet de-noising technique. Then, the amplitude of the unbalance response is acquired by the short time Fourier transform method. Finally, the feasibility and the accurately of the proposed method is verified by numerical simulation and practical experiment.
胡振邦 许睦旬 姜歌东;张东升. 基于小波降噪和短时傅里叶变换的主轴突加不平衡非平稳信号分析[J]. , 2014, 33(5): 20-23.
Hu Zhenbang Xu Muxun;Jiang Gedong;Zhang Dongsheng. Analysis of non-stationary signal of the sudden unbalanced spindle based on wavelet noise reduction and short-time Fourier transform. , 2014, 33(5): 20-23.