基于S变换的自适应降噪方法
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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 eliminate the influence of the false components,so that the accuracy of fault diagnosis of the gears was improved.
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.
引文
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[4]郑旭,郝志勇,金阳,等.自适应广义S变换在内燃机气缸盖振动特性研究中的应用[J].振动与冲击,2011,30(1):167-170.
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[6]刘海鹏,李言俊,张科.基于广义S变换进行雷达信号时频滤波去噪[J].航空计算技术,2010,40(5):23-25.
[7]彭志科,卢文秀,褚福磊.新的基于小波变换的振动信号消噪方法[J].机械工程学报,2006,42(4):18-22.
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[2]邹文,陈爱萍,贺振华,等.基于S变换的地震相分析技术[J].石油物探,2006,45(1):48-51.
[3]徐红梅,郝志勇,贾维新,等.基于S变换的内燃机气缸盖振动特性研究[J].内燃机工程,2008,29(3):68-71.
[4]郑旭,郝志勇,金阳,等.自适应广义S变换在内燃机气缸盖振动特性研究中的应用[J].振动与冲击,2011,30(1):167-170.
[5]王殿伟,李言俊,张科,等.基于时频分析的雷达信号滤波方法[J].计算机测量与控制,2008,16(2):1909-1911.
[6]刘海鹏,李言俊,张科.基于广义S变换进行雷达信号时频滤波去噪[J].航空计算技术,2010,40(5):23-25.
[7]彭志科,卢文秀,褚福磊.新的基于小波变换的振动信号消噪方法[J].机械工程学报,2006,42(4):18-22.
[8]STOCKWELL R G,MANSINHA L,LOWE R P.Localizationof the complex spectrum:the S transform[J].IEEE Transac-tions on Signal Processing,1996,44(4):998-1001.
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