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机构地区:[1]四川工程职业技术学院机电工程系,四川德阳618000 [2]中铁十一局六公司机械设计院,湖北襄阳441003
出 处:《兰州理工大学学报》2013年第2期21-24,共4页Journal of Lanzhou University of Technology
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.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 e- liminate the influence of the false components, so that the accuracy of fault diagnosis of the gears was im- proved.
分 类 号:TH17[机械工程—机械制造及自动化] TN911[电子电信—通信与信息系统]
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