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瞬变信息提取与机器诊断
引用本文:赵纪元,何正嘉.瞬变信息提取与机器诊断[J].振动.测试与诊断,1993,13(4):47-55.
作者姓名:赵纪元  何正嘉
作者单位:西安交通大学机械系 西安710049 (赵纪元,何正嘉),西安交通大学机械系 西安710049(孟庆丰)
基金项目:国家自然科学基金,机械结构强度和振动国家重点实验室资助的项目
摘    要:机器的二次信号往往因机器故障产生大量的冲击、摩擦以及运行转速的不稳定、负荷的变化导致非平稳信号的产生.对非平稳信号分析,付氏变换效果不佳,需要研究这类信号的局部时频特征,提取瞬变信息方能准确地诊断.本文介绍处理非平稳信号的新型工具——小波分析、短时付氏变换两种时频分析方法.最后用小波分析、短时付氏变换和付氏变换对机器的实测振动信号进行分析.说明了小波分析、短时付氏变换作为时频分析方法对处理非平稳信号比付氏变换优越.

关 键 词:傅里叶变换  瞬变信息  机器诊断

Extraction of Transient Information in Machinery Diagnosis
Zhao Jiyuan He Zhengjia Meng Qinfeng.Extraction of Transient Information in Machinery Diagnosis[J].Journal of Vibration,Measurement & Diagnosis,1993,13(4):47-55.
Authors:Zhao Jiyuan He Zhengjia Meng Qinfeng
Abstract:Non-stationary signal arises from mechanical shock,friction,unstable speed and changed load. Fourier transform doesn't fit its processing. So,it is necessary to study its local time-frequency feature and extract its transient information. In this paper,two kinds of new time-frequency analysis approaches for non-stationary signal processing are introduced,which are wavelet transform and short-time Fourier transform. These two approaches and Fourier transform are applied to analyse vibration signal. From this paper,conclusions are obtained to show that time-frequency analysis is superior to Fourier transform in non-stationary signal processing.
Keywords:short-time Fourier transform  wavelet analysis  transient information  non-stationary signal  machinery diagnosis  
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