摘要
根据滚动轴承局部故障振动信号的特征 ,提出了基于小波变换的时 -能密度分析的新方法。轴承旋转元件通过故障部位产生的脉冲力的频率决定了模态频率带信号能量随时间的分布情况。利用小波基将滚动轴承故障振动信号变换到时间 -尺度域 ,对模态频率区间的时 -能密度作谱分析 ,不仅能检测到滚动轴承故障的存在 ,而且能有效地识别滚动轴承的故障部位。
According to the character of vibration of miler bearing with local fault, a time-energy density analysis approach based on wavelet transform is proposed. In moda frequency band the energy distribution of vibration signal of miler bearing with the change of time is determined by the frequency of repetitive impulse forces, which are generated by the passing of each rolling element over the fault. The wavelet bases are used to translate vibration signal of roller bearing into time-scale representation. By a spectrum analysis of time-energy density in modal frequency band the fault in roller bearing can be detected and fault localization can be identified efficiently.
出处
《振动与冲击》
EI
CSCD
北大核心
2001年第3期79-81,共3页
Journal of Vibration and Shock
