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  

Analysis of non-stationary signal of a sudden unbalanced spindle based on wavelet noise reduction and short-time Fourier transformation

作　　者：胡振邦[1] 许睦旬[1] 姜歌东[1,2] 张东升[1] 

机构地区：[1]西安交通大学机械工程学院,西安710049 [2]西安交通大学机械制造系统工程国家重点实验室,西安710049

出　　处：《振动与冲击》2014年第5期20-23,36,共5页Journal of Vibration and Shock

基　　金：国家自然科学基金(51075321);长江学者和创新团队发展计划资助项目(IRT1172)

摘　　要：针对主轴运行过程中突加不平衡而产生的非平稳信号无法采用传统的傅里叶变换对信号进行分析处理的问题,提出一种采用小波降噪与短时傅里叶变换相结合对主轴振动特征信息进行准确提取的方法,该方法利用小波降噪技术对非平稳信号进行滤波处理,再对滤波处理后的信号进行重构,最后通过短时傅里叶变换精确获取主轴振动幅值,通过仿真和实验验证了该方法的有效性。Since the response of a spindle with sudden unbalance shows non-stationary characteristics which cannot be extracted with signal processing methods using traditional Fourier transformation.To tackle this problem,a new signal extracting method combining wavelet de-noising technique and short time Fourier transformation was proposed.The non-stationary signal of the spindle was filtered and reconstructed with the wavelet de-noising technique.Then,the amplitude of the unbalance response was acquired with the short time Fourier transformation.The feasibility and accuracy of the proposed method were verified with numerical simulations and practical experiments.

关 键 词：小波降噪 信号重构 短时傅里叶变换 非平稳信号 

分 类 号：TH164[机械工程—机械制造及自动化]