摘要
在利用随机共振检测微弱周期信号的基本原理基础上,给出一种通过外加可控信号激励出随机共振现象,并将之应用于微弱信号检测的方法。采用仿真信号对该方法进行了验证,通过归一化尺度变换,将该方法的适用频率扩展到机械系统特征信号频段。结果表明,该方法简单可行,能把信噪比较低的周期信号从强背景噪声中提取出来,在机械故障检测中具有应用前景。
Based on the theory of SR for detecting weak signals, a novel approach of detecting the weak periodic signal using additional-signal-enhanced SR was presented. This method was analyzed with simulated signals. Through a kind of normalized scale transform, the frequency restriction condition of the signal to be detected was eliminated. The result shows that this method is simple and feasible. The weak sinuseid signal of low signal-to-noise ratio can be extracted from loud noise. The detecting approach indicates a promising prospect for mechanical fault diagnosis.
出处
《国防科技大学学报》
EI
CAS
CSCD
北大核心
2007年第3期109-112,共4页
Journal of National University of Defense Technology
基金
航天支撑技术基金资助项目
全国博士学位论文作者专项资金资助项目(200434)
关键词
随机共振
微弱信号检测
机械故障诊断
stochastic resonance
weak signal detection
mechanical fault diagnosis
