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基于变尺度随机共振的弱周期性冲击信号的检测
Detection of Weak Periodic Impact Signals Based on Scale Transformation Stochastic Resonance
【摘要】 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。
【Abstract】 On the basis of the adiabatic elimination stochastic resonance(SR) theory in small parameters,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 Langevin equation parameters of scale transformation.The research results indicate that the method is valuable and available at vibration signal analysis of revolving machine.
【关键词】 变尺度随机共振;
弱周期冲击信号;
车削;
检测;
【Key words】 scale transformation stochastic resonance; weak periodic shock signal; turning; detection;
【Key words】 scale transformation stochastic resonance; weak periodic shock signal; turning; detection;
【基金】 国家自然科学基金资助项目(50475117);天津市重大科技攻关项目(033181611);天津大学青年教师基金资助项目(5110108)
- 【文献出处】 中国机械工程 ,China Mechanical Engineering(中国机械工程) , 编辑部邮箱 ,2006年04期
- 【分类号】TH113.1
- 【被引频次】42
- 【下载频次】498