摘要
针对多级行星齿轮箱中不同齿轮振动特性的不同,提出基于共振稀疏分解(RSSD)的行星齿轮系统多故障诊断方法。该方法使用RSSD将振动信号分解成高低共振分量,根据高低共振分量信号的时频包络谱,提取不同齿轮的故障特征;通过选择合适的品质因子将复杂信号分解为包含不同特征频率的振动分量,可有效地提取隐藏在低共振分量中的齿轮故障信号。
According to the different vibration characteristics of different gears in multi-stage planetary gearbox,a multi-fault diagnosis method of planetary gear based on resonance sparse decomposition(RSSD)was proposed.In this method,the vibration signal was decomposed into high and low resonance components by RSSD,and the fault features of different gears were extracted according to the time-frequency envelope spectrum of high and low resonance components.In this method,the appropriate quality factor was selected to decompose the complex signal into vibration components with different characteristic frequencies,and the gear fault signal hidden in low resonance was extracted effectively.
作者
张磊
张慧
ZHANG Lei;ZHANG Hui(AVIC Taiyuan Aero-Instruments Co.,Ltd.,Taiyuan 030006,China)
出处
《机械工程与自动化》
2021年第4期135-137,140,共4页
Mechanical Engineering & Automation
关键词
行星齿轮系统
共振稀疏分解
故障诊断
planetary gear system
resonance sparse decomposition(RSSD)
fault diagnosis
