【摘要】 简要介绍S变换后的时频特征,提出一种新的基于S变换的自适应信号降噪方法.利用于S变换高质量的时频分布,在时频平面中设计自适应时频滤波器,用于非平稳信号中信号分量的提取,展示该方法在信号噪声抑噪和提高信噪比方面取得了满意的效果.在信号模型的仿真试验与齿轮箱的齿轮故障诊断中,显示该方法在信号提取和压制噪声的效果,且滤波后信噪比有较大提高.结果表明,该方法可以有效提取故障齿轮的故障特征,消除虚假成分的影响,从而提高齿轮故障诊断的准确性.更多还原

【Abstract】 The time-frequency characteristics was brief introduced and a new adaptive noise reduction method was presented based on S transform.Employing the high-quality time-frequency distribution of S transform,an time-frequency filter was designed on the time-frequency plane for extraction of signal component from unstable signal,showing that this method could be used to obtain a satisfactory effect in respect of noise restraint of the signal and improvement of signal-to-noise ratio.The simulative test of the signal model and fault diagnosis of gears in gear-box manifested the result of the restraint of the noise and the extraction of the signal with this method,and the signal-to-noise ratio was improved to a larger extent.The result showed that this method could be used to extract effectively the fault feature of the gears and eliminate the influence of the false components,so that the accuracy of fault diagnosis of the gears was improved.更多还原