摘要
文章将一种音像信号处理方法引入机械运行状态检测领域。首先简介了时频方法的发展史以及同步压缩变换方法(SST)的由来,对基于短时傅里叶变换的SST的算法进行了简要分析,随后重点突出了其在时频图改善与信号分解方面的应用,并用一组变转速下的转子碰磨实验来验证SST其中一个重要用途;最后,总结了SST的优势与不足,并给出了展望。
This paper introduces a kind of audio and video signal processing method into the field of mechanical running state detection. Firstly, the history of the time-frequency method and the origin of the synchronous compression transformation method (SST) are briefly introduced.The algorithm of SST based on short-time Fourier transform is briefly analyzed,and then it is empha-sized that the time-And then use a set of rotor speed grinding experiments to verify SST which is an important use; Finally, it sums up the advantages and disadvantages of SST,and gives a prospect.
出处
《时代农机》
2017年第4期70-71,共2页
Times Agricultural Machinery
关键词
非平稳信号
同步压缩变换(SST)
时频图改善
信号分解
EMD
non-stationary signal
synchronous compression transform (SST)
time-frequency diagram improvement
signal