摘要
针对信号特征频率和采样频率所要求的匹配关系对Duffing振子变尺度随机共振的限制,研究一种频谱重构的信号预处理方法,并进一步提出基于Duffing振子的信号频谱重构随机共振方法。该方法通过引入频谱重构参数实现信号特征频率的灵活转化,与变尺度方法和阻尼比参数调节方法相结合,可以实现任意信号特征频率和采样频率下的Duffing系统的大参数随机共振,从而扩展其在微弱信号处理中的应用。数值仿真和故障诊断实例分析均验证了该方法的有效性。
The matching relation between signal characteristic frequency and sampling frequency has a restriction on the scale-varying stochastic resonance (SR)of a Duffing oscillator.Therefore,a signal pre-processing approach based on spectrum reconstruction was studied here,and a signal spectrum reconstruction SR method based on a Duffing oscillator was further proposed.This method introduced spectrum reconstruction parameters to realize the flexible varying of signal characteristic frequency.When combined with the scale varying and damping-ratio-adjustment methods,this method realized the large parametric SR of a Duffing system under any signal characteristic frequency and sampling frequency, thus its application in weak-signal detection was extended.Both numerical simulation and fault diagnosis example analysis verified the effectiveness of the proposed method.
出处
《振动与冲击》
EI
CSCD
北大核心
2016年第21期9-16,共8页
Journal of Vibration and Shock
基金
国家自然科学基金(51275336)
江西省自然科学基金(20161BAB216111)
江西省教育厅科学技术研究项目(GJJ150068)
关键词
DUFFING振子
随机共振
频谱重构
变尺度
故障诊断
Duffing oscillator
stochastic resonance
spectrum reconstruction
scale varying
fault diagnosis