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基于随机共振原理的中低频信号检测方法与电路设计
资料介绍
大量研究表明,对于满足绝热近似理论的所谓小参数信号,利用随机共振特性可以实现被测信号中噪声能量向周期性有用信号能量的跃迁,从而增强信号输出的信噪比。针对在机械故障中常见的难以实现随机共振的中低频周期信号,利用信号调制特性,将其变换为可满足绝热近似理论的小参数信号,从而实现了基于随机共振原理的微弱信号检测。在此基础上,设计出了混频随机共振电路系统,利用混频器将待测信号与扫描信号发生器产生的信号作选频处理,然后输入非线性双稳态系统实现基于随机共振的检测。模拟实验结果表明,该电路系统能够实现随机共振并从噪声背景中检测出微弱的中低频周期信号。
The characteristic of stochastic resonance can be used to transfer the energy of noise to that of period signal for called small parameter signal,when nonlinear system,noise and signal meet adiabatic approximation theory.So the signal-to-noise ratio（SNR） can be increased in output signal.Weak medium-low frequency signals are prevalent in mechanical faults,and it is quite difficult to detect these signals with stochastic resonance principle.Employing frequency modulation characteristics of Fourier transform,medium-low frequency periodic signals are transformed into small-parameter signals,which satisfy adiabatic approximation theory,and then these signals can be detected ...
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| 文件名 | 大小 |
| 基于随机共振原理的中低频信号检测方法与电路设计.pdf | 401K |
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