小波变换在履带车辆振动信号处理中的应用
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摘要
为解决履带车辆振动信号受强噪声信号干扰的影响,运用小波变换原理,根据重构因子比较几种小波基,确定适合履带车辆振动信号的小波基和阈值,描述小波分层方法,对履带车辆振动信号进行去噪。仿真计算结果表明小波变换去噪方法能有效地抑制背景噪声,提取有用状态信息,提高信噪比和减小均方误差,为履带车辆振动信号预处理提供一种可行的方法。
In order to avoid an interference of strong noise to tracked vehicles vibration signal,using wavelet transform,several wavelet bases was compared according to reconstruction factors,then an appropriate wavelet base and threshold to processing vibration signals of tracked vehicles were determined,the wavelet layered method was described The simulation result indicated the wavelet transformation de-noising method can suppress the background noise effectively,extract useful state information,enhance the signal-to-noise ratio,reduce mean-square error and recover the interest weak signal buried in intensive background noise.
In order to avoid an interference of strong noise to tracked vehicles vibration signal,using wavelet transform,several wavelet bases was compared according to reconstruction factors,then an appropriate wavelet base and threshold to processing vibration signals of tracked vehicles were determined,the wavelet layered method was described The simulation result indicated the wavelet transformation de-noising method can suppress the background noise effectively,extract useful state information,enhance the signal-to-noise ratio,reduce mean-square error and recover the interest weak signal buried in intensive background noise.
引文
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[11]臧玉萍,张德江,王维正.小波分层阈值降噪法及其在发动机振动信号分析中的应用[J].振动与冲击,2009,28(8):57-60.
[2]单剑锋,崔占忠,司怀吉.小波变换去噪方法在无线电引信信号处理中应用的研究[J].北京理工大学学报,2005,25(3):256-259.
[3]刘涛,曾祥利,曾军.实用小波分析入门[M].北京:国防工业出版社,2006:116-117.
[4]Donoho D L.De-noising by soft-thresholding[J].IEEETrans on Information Theory,1995,41(3):613-627.
[5]Zhang X P,Desai M T.Adaptive de-noising based onsurerisk[J].IEEE Signal Processing Letters,1998,5(10):265-267.
[6]林大超,施惠基,白春华,等.爆炸地震效应的时频分析[J].爆炸与冲击,2003,23(1):31-35.
[7]傅晨钊,汲胜昌,李彦明等.软门限小波去噪在变压器冲击试验中的应用研究[J].中国电机工程学报,2001,21(7):103-106.
[8]郭亚.振动信号处理中的小波基选择研究[D].合肥:合肥工业大学,2003:14-35.
[9]高玉华,王卫东,姜永胜.汽车振动信号去噪分析中的小波参数选择[J].合肥工业大学学报,2007,30(8):975-979.
[10]李月琴,栗苹,闫晓鹏,等.无线电引信信号去噪的最优小波基选择[J].北京理工大学学报,2008,28(8):724-726.
[11]臧玉萍,张德江,王维正.小波分层阈值降噪法及其在发动机振动信号分析中的应用[J].振动与冲击,2009,28(8):57-60.
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