级联三稳态随机共振的特性研究及应用

针对强噪声环境下存在的微弱信号检测困难的问题,以级联三稳态随机共振系统为研究对象,利用信噪比增益和特征频率的频谱峰值作为判断指标,对三稳态随机共振的特性进行分析。仿真结果验证了通过调节级联三稳态随机共振系统的相关参数,能够获得比单级三稳态随机共振系统更好的随机共振输出特性。此外,针对弱信号在实际的齿轮故障诊断中难以提取的问题,提出级联三稳态随机共振齿轮故障的诊断方法。结果表明,该方法可以有效提取齿轮故障的微弱特征,进而实现齿轮的早期故障诊断,具有广泛的工程应用前景。

Research on Stochastic Resonance Characteristics of Cascaded Three-steady-state and Its Application

In order to solve the problem of weak signal detection difficulties in strong noise environment,using SNR gain and the spectral height of characteristic frequency as the measurement indexes,this paper studied the cascaded tri-stable stochastic resonance system and analyzed its characteristics.The simulation results show that the cascaded tri-stable stochastic resonance system can achieve better output than single-stage tri-stable resonance system through tu-ning the parameters.In addition,in order to solve the problem that the weak signal in the actual gear fault diagnosis is difficult to extract,this paper proposed a gear fault diagnosis method by using cascaded tri-stable stochastic resonance system.The results show that this method can effectively extract the weak characteristics of gear fault,and realize the early gear fault diagnosis.Therefore,it has a wide range of engineering application prospects.