基于时延反馈多稳随机共振的微弱信号检测方法  

Weak Signal Detection Method Based on Delay Feedback Multistable Stochastic Resonance

作　　者：时培明[1,2] 袁丹真 张文跃 李梦迪 韩东颖[3] SHI Pei-ming;YUAN Dan-zhen;ZHANG Wen-yue;LI Meng-di;HAN Dong-ying(Key Lab Measurement Technol&Instrument Hebei Province,Yanshan University,Qinhuangdao,Hebei 066004,China;School of Electrical Engineering,Yanshan University,Qinhuangdao,Hebei 066004,China;School of Vehicles and Energy,Yanshan University,Qinhuangdao,Hebei 066004,China)

机构地区：[1]燕山大学河北省测试计量技术及仪器重点实验室,河北秦皇岛066004 [2]燕山大学电气工程学院,河北秦皇岛066004 [3]燕山大学车辆与能源学院,河北秦皇岛066004

出　　处：《计量学报》2020年第7期868-872,共5页Acta Metrologica Sinica

基　　金：国家自然科学基金(51475407,51875500);河北省人社厅"三三三人才工程"培养项目(A2016002018)。

摘　　要：为了检测噪声背景下的微弱信号,提出了一种基于一次项时延的新型多稳态随机共振模型。分析了各参数对该模型的影响,并与时延反馈随机共振模型进行对比。提出的基于一次项时延的多稳态随机共振模型可以集中增强微弱信号特征频率处的幅值,提高输出信号的信噪比和谱功率放大系数。通过实例验证表明提出的方法可以有效检测出早期微弱信号的特征。In order to detect weak signals in noisy background,a novel multistable stochastic resonance model based on one-time delay is proposed.The influence of each parameter on the model is analyzed and compared with the delay feedback stochastic resonance model.In this paper,a multistable stochastic resonance model based on one-time delay is proposed,which can enhance the amplitude at the characteristic frequency of weak signals and improve the signal-to-noise ratio and spectral power amplification factor of output signals.Examples show that the proposed method can effectively detect the characteristics of early weak signals.

关 键 词：计量学 微弱信号检测 多稳随机共振 时延反馈 信噪比 故障诊断 

分 类 号：TB973[一般工业技术—计量学]