CAJ | 학술논문

基于小波变换具有良好时频分析的特点,介绍了小波变换用于去除噪声的原理和方法,建立齿轮箱齿轮人工点蚀故障模拟实验台,通过Matlab对故障振动信号进行小波分析,并且和没有经过信号消噪就进行小波分解进行对比,从而得出对含噪声的非平稳信号进行消噪,再进行小波分解可以较好的提取齿轮点蚀故障特征频率的结论.
기우소파변환구유량호시빈분석적특점,개소료소파변환용우거제조성적원리화방법,건립치륜상치륜인공점식고장모의실험태,통과Matlab대고장진동신호진행소파분석,병차화몰유경과신호소조취진행소파분해진행대비,종이득출대함조성적비평은신호진행소조,재진행소파분해가이교호적제취치륜점식고장특정빈솔적결론.
Based on wavelet transform has good time-frequency analysis character, wavelet de-noising principle and method are introduced.Gear box of gear artificial pitting simulation test installation is established.Through applying Matlab programming, wavelet analysis of vibration signals is carried out and is compared signal that has not been de-noising wavelet decomposition.This result is obtained that for noise signals, through wavelet thresholding de-noising and wavelet decomposition can be better extracted gear pitting fault character.