振动信号处理方法综述
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摘要
振动信号处理方法一直以来是研究的热点,对设备振动监测和故障诊断都至关重要。近年来,振动信号的处理方法得到了快速发展,但仍需不断改进和完善。对近年来的文献进行了分类总结,分别对传统方法中的幅值域分析法、傅里叶变换、相关分析和现代方法中的Wigner-Ville分布、谱分析、小波分析、盲源分离、Hilbert-Huang变换及高阶统计量分析的发展、特点以及应用进行了概述和对比分析,最后作出了总结与展望。
Vibration signal processing method has been an active research topic all the time,and the equipment vibration monitoring and fault diagnosis are crucial.Though the vibration signal processing methods developed fast in recent years,they still need to be improved and optimized.Some typical approaches referring to recent literatures are classified and summarized in this paper.The developments,features and applications are presented and discussed for amplitude domain analysis,Fourier transform,correlation analysis in traditional methods,and Wigner-Ville distribution,spectral analysis,wavelet analysis,blind source separation,Hilbert-Huang transform,higher order statistics analysis in modern methods.Finally,we make a conclusion for this paper and an overview is made to guide the future development in this field.
引文
[1]丁康,陈健林,苏向荣.平稳和非平稳振动信号的若干处理方法及发展[J].振动工程学报,2003,16(1):1-10.DING K,CHEN J L,SU X R.Development in vibrationsignal analysis and processing methods[J].Journal of Vi-bration Engineering,2003,16(1):1-10.
    [2]李舜酩,李香莲.振动信号的现代分析技术与应用[M].北京:国防工业出版社,2008:2-4.LI SH M,LI X L.Modern analysis techniques and appli-cation of vibration signals[M].Beijing:National DefenseIndustry Press,2008:2-4.
    [3]GABOR D.Theory of communication.Part 1:The analysisof information[J].Journal of the Institute of ElectricalEngineers,1946,93(26):429-441.
    [4]张景贵,李勇帆,赵晋琴.基于短时傅里叶变换分析超短光脉冲的传输特性[J].激光技术,2013,37(1):52-55.ZHANG J G,LI Y F,ZHAO J Q.Study on the character-istics of ultra-short optical pulse propagation based onshort-time Fourier transformation[J].Laser Technology,2013,37(1):52-55.
    [5]李振兴.细化FFT的短时傅里叶变换方法[J].四川兵工学报,2010,31(2):133-135.LI ZH X.Short-time Fourier transform method of zoom-FFT[J].Journal of Sichuan Ordnance,2010,31(2):133-135.
    [6]凌东雄,王红成,叶海.激光光场的分数傅里叶变换[J].东莞理工大学学报,2012,19(5):16-20.LING D X,WANG H CH,YE H.Fractional Fouriertransform of laser light field[J].Journal of Dongguan In-stitute of Technology,2012,19(5):16-20.
    [7]聂春燕,石要武.基于互相关检测和混沌理论的弱信号检测方法研究[J].仪器仪表学报,2001,22(1):32-35.NIE CH Y,SHI Y W.The research of weak signal detectionbased on cross-correlation and chaos theory[J].ChineseJournal of Scientific Instrument,2001,22(1):32-35.
    [8]马建仓,刘小龙.航空发动机转子振动信号的早期故障分析[J].计算机测量与控制,2010,18(2):276-279.MA J C,LIU X L.Early analysis of vibration signal foraero-engine rotor faults[J].Computer Measurement andControl,2010,18(2):276-279.
    [9]沈颖.信号相关分析及其在工程测试中的应用[J].石油仪器,2002,16(6):39-42.SHEN Y.Signal correlation analysis and its application toengineering test[J].Petroleum Instruments,2002,16(6):39-42.
    [10]甘世明,郭秀珍,赵永军.信号的相关分析[J].仪器仪表用户,2008,15(4):120-121.GAN SH M,GUO X ZH,ZHAO Y J.The correlation anal-ysis of signal[J].Electronic Instrumentation Customer,2008,15(4):120-121.
    [11]左泽敏,李舜酩,郑娟丽.相关分析在机械振动信号处理中的应用[J].机械制造与自动化,2009,38(1):75-79.ZUO Z M,LI SH M,ZHENG J L.Application of correla-tion analysis in mechanical vibration signal[J].JiangsuMachine Building and Automation,2009,38(1):74-79.
    [12]WIGNER E P.On the quantum correction for thermody-namic equilibrium[J].Phys.Rev.,1932,40(5):749-759.
    [13]VILLE J.Theorie et applications de la notion de signalanalytique[J].Cables et Transmission,1948,2A:61-74.
    [14]MARK W D.Spectral analysis of the convolution and fil-tering of non-stationary stochastic processes[J].Journalof Sound and Vibration,1970,11(1):19-63.
    [15]CLASSEN T C M,MECKLENBRAUKER W F G.The Wign-er distribution-parⅠt[J].Philips Res J.,1980,35:217-250.
    [16]CLASSEN T C M,MECKLENBRAUKER W F G.TheWigner distribution-partⅡ[J].Philips Res J.,1980,35:276-300.
    [17]CLASSEN T C M,Mecklenbrauker W F G.The Wignerdistribution-partⅢ[J].Philips Res J.,1980,35:372-389.
    [18]石林锁,张亚洲,米文鹏.基于WVD的谱峭度法在轴承故障诊断中的应用[J].振动、测试与诊断,2011,31(1):27-31.SHI L S,ZHANG Y ZH,MI W P.Application of wigner-ville-distribution-based spectral kurtosis algorithm to faultdiagnosis of rolling bearing[J].Journal of VibrationMeasurement and Diagnosis,2011,31(1):27-31.
    [19]赵培洪,平殿发,邓兵.抑制Wigner-Ville分布交叉项的新方法[J].计算机应用,2010,30(8):2218-2220.ZHAO P H,PING D F,DENG B.New method to suppresscross-terms of Wigner-Ville distribution[J].Journal ofComputer Applications,2010,30(8):2218-2220.
    [20]黄建国.现代谱分析的发展及应用(一)[J].数据采集与处理,1990,5(4):47-65.HUANG J G.The development and application of modernspectrum analysis(one)[J].Journal of Data Acquisitionand Processing,1990,5(4):47-65.
    [21]黄建国.现代谱分析的发展及应用(二)[J].数据采集与处理,1991,6(1):33-45.HUANG J G.The development and application of modernspectrum analysis(two)[J].Journal of Data Acquisitionand Processing,1991,6(1):33-45.
    [22]许宝玉,刘义伦,汪旭东.板带轧机随机干扰模型与ARMA谱分析[J].振动与冲击,2012,31(7):1-3,23.XU B Y,LIU Y L,WANG X D.Stochastic excitation mod-el for a plate ant strip rolling mill and its AMRA spectralanalysis[J].Journal of Vibration and Shock,2012,31(7):1-3,23.
    [23]CHUI C K,WANG J Z.A cardinal spline approach towavelets[J].American Mathematical Society,1991,113(3):785-793.
    [24]牛培峰,张君,邹刚.小波分析技术在汽轮机故障诊断中的应用研究[J].仪器仪表学报,2007,28(1):189-192.NIU P F,ZHANG J,ZOU G.Study on application ofwavelet transform technique to turbine generator fault di-agnosis[J].Chinese Journal of Scientific Instrument,2007,28(1):189-192.
    [25]李舜酩.二进离散小波能量谱及其对微弱信号的检测[J].中国机械工程,2004,15(5):394-397.LI SH M.Detection of weak signal by energy spectrum ofdiscrete wavelet[J].China Mechanical Engineering,2004,15(5):394-397.
    [26]颜世玉,刘冲,赵海滨,等.基于小波包分解的意识脑电特征提取[J].仪器仪表学报,2012,33(8):1748-1752.YAN SH Y,LIU CH,ZHAO H B,et al.Imaginary EEG fea-ture extraction based on wavelet packet decomposition[J].Chinese Journal of Scientific Instrument,2012,33(8):1748-1752.
    [27]李舜酩.二进小波振动检测中低频保相的二次变换处理[J].仪器仪表学报,2005,26(4):370-373.LI SH M.On phase holding by dyadic wavelet doubletransform in vibration signal detects[J].Chinese Journalof Scientific Instrument,2005,26(4):370-373.
    [28]段晨东,何正嘉.一种基于提升小波变换的故障特征提取方法及其应用[J].振动与冲击,2007,26(2):10-13,32.DUAN CH D,HE ZH J.Fault feature extraction methodusingthe lifting wavelet transform and its applications[J].Journal of Vibration and Shock,2007,26(2):10-13,32.
    [29]NEWLAND D E.Harmonic wavelet analysis[J].Proceed-ing of the Royal Society of London Series A,1993,443(1917):203-225.
    [30]NEWLAND D E.Ridge and phase identification in thefrequency analysis of transient signals by harmonicwavelets[J].Journal of Vibration and Acoustics,1999,121(2):149-155.
    [31]吴逍,纪国宜.基于谐波小波包理论检测微弱信号的研究[J].电子测量技术,2010,33(6):1-3,12.WU X,JI G Y.Applying harmonic wavelet packet detectingweak signal[J].Electronic Measurement Technology,2010,33(6):1-3,12.
    [32]JUTTEN C,HERAULT J.Blind separation of sources,partⅠ:An adaptive algorithm based on neuromimetic archi-tecture[J].Signal Processing,1991,24(1):1-10.
    [33]TONG L,LIU R W,SOON V C,et al.Indeterminacy andidentifiability of blind identification[J].IEEE Transactionon Circuits and Systems,1991,38(5):499-509.
    [34]COMMON P.Independent component analysis,a new con-cept[J].Signal Processing,1994,36(3):287-314.
    [35]MATSUOKA K,OHOYA M,KAWAMOTO M.A neuralnet for blind separation of nonstationary signals[J].Neu-ral Networks,1995,8(3):411-419.
    [36]KAWAMOTO M,BARROS A K,MANSOUR A,et al.Re-al world blind separation of convolved non-stationary sig-nals[C].ICA’99,Aussois,France,1999:347-352.
    [37]董绍江,汤宝平,张焱.基于最优匹配跟踪算法的单通道机械信号盲分离[J].振动工程学报,2012,25(6):724-731.DONG SH J,TANG B P,ZHANG Y.Blind source separa-tion of single-channel mechanical signal based on optimalmatching pursuit algorithm[J].Journal of Vibration Engi-neering,2012,25(6):724-731.
    [38]刘金华,佘堃.一种采用小波滤波的独立分量分析算法[J].电子测量与仪器学报,2010,24(1):39-44.LIU J H,SHE K.Independent component analysis algo-rithm using wavelet filtering[J].Journal of ElectronicMeasurement and Instrument,2010,24(1):39-44.
    [39]周晓峰,杨世锡,甘春标.相关机械振源的盲源分离方法[J].振动与冲击,2012,31(14):60-63.ZHOU X F,YANG SH X,GAN CH B.Blind source sepa-ration of statistically correlated sources[J].Journal of Vi-bration and Shock,2012,31(14):60-63.
    [40]李舜酩.转子振动故障信号的盲分离[J].航空动力学报,2005,20(5):751-756.LI SH M.Blind source separation of rotor vibrationfaults[J].Journal of Aerospace Power,2005,20(5):751-756.
    [41]HUANG N E,SHEN Z,LONG S R,et al.The empiricalmode decomposition and the Hilbert spectrum for nonlin-ear and non-stationary time series analysis[J].Proceed-ing of the Royal Society of London Series A-MathematicalPhysical and Engineering Sciences,1998,454(1971):903-995.
    [42]汤宝平,钟佑明,程发斌.基于HHT的非平稳信号分析仪的研究[J].仪器仪表学报,2007,28(1):29-33.TANG B P,ZHONG Y M,CHENG F B.Research on non-stationary signal analyzer based on HHT[J].ChineseJournal of Scientific Instrument,2007,28(1):29-33.
    [43]谢秀娟,潘晓文.基于HHT的信号奇异性分析[J].现代电子技术,2009,15:71-74.XIE X J,PAN X W.Singularity analysis of signal basedon HHT[J].Modern Electronics Technique,2009,32(15):71-74.
    [44]钟佑明,秦树人,汤宝平.一种振动信号新变换法的研究[J].振动工程学报,2002,15(2):233-238.ZHONG Y M,QIN SH R,TANG B P.Study on a newtransform method for vibration signal[J].Journal of Vi-bration Engineering,2002,15(2):233-238.
    [45]廖庆斌,李舜酩.一种旋转机械振动信号特征提取的新方法[J].中国机械工程,2006,17(16):1675-1679.LIAO Q B,LI SH M.A method for feature extraction ofrotating machinery vibration signals[J].China Mechani-cal Engineering,2006,17(16):1675-1679.
    [46]PENG Z K,TSE P W,CHU F L.A comparison study of im-proved Hilbert-Huang transform and wavelet transform:Ap-plication to fault diagnosis for rolling bearing[J].Mechani-cal Systems and Signal Processing,2005,19(5):974-988.
    [47]PENG Z K,TSE P W,CHU F L.An improved Hilbert-Huang transform and its application in vibration signalanalysis[J].Journal of Sound and Vibration,2005,286(1-2):187-205.
    [48]李希亮,刘希强,张玲,等.高阶统计量在形变固体潮汐异常信息提取中的应用[J].西北地震学报,2012,34(4):359-364.LI X L,LIU X Q,ZHANG L,et al.Application of higher-order statistics on extracting the tidal deformation anoma-lies[J].Northwestern Seismological Journal,2012,34(4):359-364.
    [49]张玉洁,祁锐,李宏伟.基于ICA和高阶累积量的AR序列的分解与复原[J].仪器仪表学报,2008,29(9):1836-1840.ZHANG Y J,QI R,LI H W.Decomposition and recoveryon AR based on ICA and higher-order cumulant[J].Chi-nese Journal of Scientific Instrument,2008,29(9):1836-1840.
    [50]孙政,胡修林,涂平洲.高阶统计量方法及应用研究[J].计算机与数字工程,2003,31(6):59-61,48.SUN ZH,HU X L,TU P ZH.The research of methodsand applications of higher-order statistics[J].Computerand Digital Engineering,2003,31(6):59-61,48.
    [51]尹成,伍志明,邓怀群.高阶统计量方法在地震勘探中的应用[J].地球物理学进展,2003,18(3):546-550.YI CH,WI ZH M,DENG H Q.Application of high-orderstatistics in seismic exploration[J].Progress in Geophys-ics,2003,18(3):546-550.
    [52]阳同光,蒋新华,付强.混合蛙跳脊波神经网络观测器电机故障诊断研究[J].仪器仪表学报,2013,34(1):193-199.YANG T G,JIANG X H,FU Q.Study on motor fault diag-nosis using ridgelet neural network observer optimized byshuffled frog leaping algorithm[J].Chinese Journal ofScientific Instrument,2013,34(1):193-199.
    [53]杨松,邵龙潭,郭晓露,等.基于骨架和分形的混凝土裂缝图像识别算法[J].仪器仪表学报,2012,33(8):1850-1855.YANG S,SHAO L T,GUO X L,et al.Skeleton and fractallaw based image recognition algorithm for concretecrack[J].Chinese Journal of Scientific Instrument,2012,33(8):1850-1855.
    [54]陈新国,王洁芸.混沌振子在不同初值下检测弱信号的性能分析[J].仪器仪表学报,2012,33(12):2857-2862.CHEN X G,WANG J Y.Performance analysis of weaksignal detection based on chaotic oscillator under differentinitial condition[J].Chinese Journal of Scientific Instru-ment,2012,33(12):2857-2862.
    [55]张晓飞,胡茑庆,胡雷.基于倒谱预白化和随机共振的轴承故障增强检测[J].机械工程学报,2012,48(23):83-89.ZHANG X F,HU N Q,HU L.Enhanced detection ofbearing faults based on signal cepstrum pre-whitening andstochastic resonance[J].Chinese Journal of MechanicalEngineering,2012,48(23):83-89.
    [56]张新征,黄培康.基于贝叶斯压缩感知的SAR目标识别[J].系统工程与电子技术,2013,35(1):40-44.ZHANG X ZH,HUANG P K.SAR ART based on Bayes-ian compressive sensing[J].Systems Engineering andElectronics,2013,35(1):40-44.

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