摘要
多调制源、多载波信号的循环自相关解调分析存在交叉项的干扰,这使循环自相关解调方法的实际应用产生了困难。在对循环自相关解调及其性能分析的基础上,提出了基于经验模式分解的分频带循环自相关解调方法。该方法通过对信号经验模式分解后能量相对集中的基本模式分量进行循环自相关解调,有效地抑制了多调制源、多载波对循环平稳结果带来的交叉项干扰,提高了分析的可靠性。将该方法应用于滚动轴承的故障诊断,成功地从振动信号中分离出故障源。
The cross-term interference caused by multi-modulator and multi-carrier makes it difficult the use of the cyclic autocorrelation demodulation.Aiming at the problem,a new method called the EMD(empirical mode decomposition)-cyclic domain demodulation is proposed.By demodulating the intrinsic mode function which has the concentrated energy correspondingly with cyclic autocorrelation arithmetic,the new method can decrease the cross-term interference caused by multi-modulator and multi-carrier and improve the reliability of the analysis.As the application of the EMD-cyclic domain demodulation theory in fault diagnosis,the method is used to successfully extract fault feature from vibration signals of rolling element bearing.
出处
《振动与冲击》
EI
CSCD
北大核心
2006年第4期34-37,63,共5页
Journal of Vibration and Shock
基金
国家自然科学基金资助项目(编号:50475117)
天津市科技发展计划项目(编号:0431835116)
关键词
循环自相关
经验模式分解
信号解调
故障诊断
cyclic autocorrelation,empirical mode decomposition,signal demodulation,fault diagnosis