基于小波分析的齿轮箱振动信号消噪处理  

Gearbox Vibration Signal De-noising Processing based on Wavelet Analysis

作　　者：郜立焕[1] 张利娜[1] 朱建国[1] 周长生[1] 

机构地区：[1]兰州理工大学,甘肃兰州730050

出　　处：《机械传动》2010年第3期50-52,共3页Journal of Mechanical Transmission

摘　　要：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。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 charaeter.

关 键 词：小波分析 去噪 阈值 故障诊断 

分 类 号：TB535[理学—物理]