以绝热近似小参数的随机共振理论为依据,采用变尺度的方法实现大参数条件下的随机共振。通过调整变尺度随机共振Langevin方程的参数,成功地在强噪声背景下检测出微弱的周期性冲击信号。实验结果表明,该方法在回转类机械的振动信号分析中具有重要的实用价值。
On the basis of the adiabatic elimination stochastic resonance (SR) theory in small pa rameters , the way of scale transformation was applied to SR under the conditions of large parameters. A weak periodic impact signal overwhelmed in heavy noise was detected successfully by adjusting Lan gevin equation parameters of scale transformation. The research results indicate that the method is valuable and available at vibration signal analysis of revolving machine.