摘要
研究了典型齿轮故障振动信号在分数阶傅里叶变换(FRFT)域的分布特征,并在此基础上分析了该信号在FRFT循环域(CFRFD)的分布特征,提出了FRFT循环处理(CFRFT)方法,实现了信号在CFRFD的能量积累。通过仿真实验验证了低信噪比条件下,CFRFT对齿轮振动信号的故障特征提取能力及有效性。
The distribution characteristics of typical gear fault vibration signals in the Fractional Fourier Transform (FRFT) domain are stud-ied. The distribution characteristics of the signals in the Fractional Fourier Transform Cyclic Processing domain (CFRFD) are analyzed. The FRFT cyclic processing method (CFRFT) is presented, which achieves energy accumulation of the signals in CFRFD. Simulation experiments results verify CFRFT ability and validity on fault feature extraction of gear vibration signals in low SNR condition.
出处
《计测技术》
2013年第6期26-30,共5页
Metrology & Measurement Technology
基金
国家自然科学基金资助项目(60902054)
中国博士后科学基金资助项目(20090460114
201003758)
关键词
齿轮故障
分数阶傅里叶变换
循环处理
特征提取
gear fault
Fractional Fourier Transform
cyclic processing
feature extraction