EEMD滤波的转子轴心轨迹提纯方法
|
摘要
针对轴心轨迹提纯问题,研究了集合经验模式分解(Ensemble empirical modedecomposition,EEMD)抑制模态混叠的特性及其滤波特性,提出了基于EEMD滤波的转子轴心轨迹提纯方法。应用EEMD将信号分解成一系列的固有模式函数(Intrinsic mode function,IMF)分量,再根据先验知识选择相应的IMF分量重构信号,组合成提纯轴心轨迹。对小型转子试验台转子轴心轨迹的成功提纯验证了该方法的有效性,与谐波窗和EMD轴心轨迹提纯方法的对比结果表明了该方法的优势,为转子系统故障诊断提供了一种新的手段。
In order to purify rotor orbit,the characteristics of suppressing the phenomenon of mode mixing and filtering in ensemble empirical mode decomposition(EEMD) are studied,and a method of rotor orbit purification is presented.Ensemble empirical mode decomposition decomposes a complicated signal into a collection of intrinsic mode functions(IMFs).Then,according to prior knowledge of rotor system,choose intrinsic mode function components and reconstruct the signal,and,the purification of rotor orbit is obtained.The effectiveness of the method is proved by the successful purification of rotor orbit coming from the test-bed.And,the results of comparing the performances of the proposed method to the harmonic-based and the EMD-based purification of axis orbit method show the advantage of the de-noising method.The method provides a new way for fault diagnosis of rotating machinery.
In order to purify rotor orbit,the characteristics of suppressing the phenomenon of mode mixing and filtering in ensemble empirical mode decomposition(EEMD) are studied,and a method of rotor orbit purification is presented.Ensemble empirical mode decomposition decomposes a complicated signal into a collection of intrinsic mode functions(IMFs).Then,according to prior knowledge of rotor system,choose intrinsic mode function components and reconstruct the signal,and,the purification of rotor orbit is obtained.The effectiveness of the method is proved by the successful purification of rotor orbit coming from the test-bed.And,the results of comparing the performances of the proposed method to the harmonic-based and the EMD-based purification of axis orbit method show the advantage of the de-noising method.The method provides a new way for fault diagnosis of rotating machinery.
引文
[1]张大明,金涛,秦树人.智能控件化虚拟式轴心轨迹分析系统[J].重庆大学学报:自然科学版,2005,28(3):7-10.ZHANG Daming,JIN Tao,QIN Shuren.Intelligentcontrol-oriented virtual axix locus analyzing system[J].Journal of Chongqing University:Natural ScienceEdition,2005,28(3):7-10.
[2]Inoue T,Sueoka A,Kanemoto H,et al.Detection ofminute signs of a small fault in a periodic or aquasi-periodic signal by the harmonic wavelet transform[J].Mechanical Systems and Signal Processing,2007,21(5):2041-2055.
[3]张文斌,周晓军,杨先勇,等.基于谐波窗方法的转子轴心轨迹提纯[J].振动与冲击,2009,28(8):74-77.ZHANG Wenbin,ZHOU Xiaojun,YANG Xiaoyong,et al.Harmonic window method for purification of axistrace[J].Journal of Vibration and Shock,2009,28(8):74-77.
[4]李舜酩.谐波小波包方法及其对转子亚频轴心轨迹的提取[J].机械工程学报,2004,40(9):133-137.Li Shunming.Harmonic wavelet packets method andused on accurate obtaining the orbit of rotor sub-frequency signal[J].Chinese Journal of MechanicalEngineering,2004,40(9):133-137.
[5]Huang N E,Shen Z,Long S R,et al.The empiricalmode decomposition and the Hilbert spectrum fornonlinear and non-stationary time series analysis[J].Proceedings of the Royal Society of London.Series A,Mathematical Physical and Engineering Sciences,1998,454:903-995.
[6]Flandrin P,Rilling G,Gonalvés P.Empirical modedecomposition as a filter Bank[J].IEEE SignalProcessing Letters,2004,11(2):112-114.
[7]祁克玉,何正嘉,訾艳阳.EMD方法在烟机摩擦故障诊断中的应用[J].振动、测试与诊断,2006,26(4):266-268.QI Keyu,HE Zhengjia,ZI Yanyang.Application ofempirical mode decomposition method to friction faultdiagnosis for gas trubo[J].Journal of Vibration,Measurement&Diagnosis,2006,26(4):266-268.
[8]Rilling G,Flandrin P,Gonalvès P.On empirical modedecomposition and its algorithms[C]∥Proceedings ofthe 6th IEEE/EURASIP Workshop on Nonlinear Signaland Image Processing(NSIP’03),June,2003,Grado,Italy.[S.l.]:Citeulike,2003:8-11.
[9]Rato R T,Ortigueira M D,Batista A G.On the HHT,itsproblems,and some solutions[J].Mechanical Systems andSignal Processing,2008,22(6):1374-1394.
[10]曹晖,曹永红.HH变换在地震动信号分析中的应用[J].重庆大学学报,2008,31(8):922-927.CAO Hui,CAO Yonghong.Application limitation ofthe Hilbert-Huang transform to earthquake groundmotion analysis[J].Journal of Chongqing University,2008,31(8):922-927.
[11]Lei Y G,He Z J,Zi Y Y.Application of the EEMDmethod to rotor fault diagnosis of rotatingmachinery[J].Mechanical Systems and SignalProcessing,2009,23(4):1327-1338.
[12]Wu Z H,Huang N E.Ensemble empirical modedecomposition:a noise-assisted data analysis method[J].Advances in Adaptive Data Analysis,2009,1(1):1-41.
[13]Zhang J,Yan R Q,Gao R B,et al.Performanceenhancement of ensemble empirical modedecomposition[J].Mechanical Systems and SignalProcessing,2010,24:2014-2123.
[2]Inoue T,Sueoka A,Kanemoto H,et al.Detection ofminute signs of a small fault in a periodic or aquasi-periodic signal by the harmonic wavelet transform[J].Mechanical Systems and Signal Processing,2007,21(5):2041-2055.
[3]张文斌,周晓军,杨先勇,等.基于谐波窗方法的转子轴心轨迹提纯[J].振动与冲击,2009,28(8):74-77.ZHANG Wenbin,ZHOU Xiaojun,YANG Xiaoyong,et al.Harmonic window method for purification of axistrace[J].Journal of Vibration and Shock,2009,28(8):74-77.
[4]李舜酩.谐波小波包方法及其对转子亚频轴心轨迹的提取[J].机械工程学报,2004,40(9):133-137.Li Shunming.Harmonic wavelet packets method andused on accurate obtaining the orbit of rotor sub-frequency signal[J].Chinese Journal of MechanicalEngineering,2004,40(9):133-137.
[5]Huang N E,Shen Z,Long S R,et al.The empiricalmode decomposition and the Hilbert spectrum fornonlinear and non-stationary time series analysis[J].Proceedings of the Royal Society of London.Series A,Mathematical Physical and Engineering Sciences,1998,454:903-995.
[6]Flandrin P,Rilling G,Gonalvés P.Empirical modedecomposition as a filter Bank[J].IEEE SignalProcessing Letters,2004,11(2):112-114.
[7]祁克玉,何正嘉,訾艳阳.EMD方法在烟机摩擦故障诊断中的应用[J].振动、测试与诊断,2006,26(4):266-268.QI Keyu,HE Zhengjia,ZI Yanyang.Application ofempirical mode decomposition method to friction faultdiagnosis for gas trubo[J].Journal of Vibration,Measurement&Diagnosis,2006,26(4):266-268.
[8]Rilling G,Flandrin P,Gonalvès P.On empirical modedecomposition and its algorithms[C]∥Proceedings ofthe 6th IEEE/EURASIP Workshop on Nonlinear Signaland Image Processing(NSIP’03),June,2003,Grado,Italy.[S.l.]:Citeulike,2003:8-11.
[9]Rato R T,Ortigueira M D,Batista A G.On the HHT,itsproblems,and some solutions[J].Mechanical Systems andSignal Processing,2008,22(6):1374-1394.
[10]曹晖,曹永红.HH变换在地震动信号分析中的应用[J].重庆大学学报,2008,31(8):922-927.CAO Hui,CAO Yonghong.Application limitation ofthe Hilbert-Huang transform to earthquake groundmotion analysis[J].Journal of Chongqing University,2008,31(8):922-927.
[11]Lei Y G,He Z J,Zi Y Y.Application of the EEMDmethod to rotor fault diagnosis of rotatingmachinery[J].Mechanical Systems and SignalProcessing,2009,23(4):1327-1338.
[12]Wu Z H,Huang N E.Ensemble empirical modedecomposition:a noise-assisted data analysis method[J].Advances in Adaptive Data Analysis,2009,1(1):1-41.
[13]Zhang J,Yan R Q,Gao R B,et al.Performanceenhancement of ensemble empirical modedecomposition[J].Mechanical Systems and SignalProcessing,2010,24:2014-2123.
版权所有：© 2023 中国地质图书馆 中国地质调查局地学文献中心