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.1054 工程科学学报,第42卷,第8期 化特性.北京工业大学学报,2018,44(2):170) diagnosis under variable speed conditions.IEEE Access,2017,5: [2]Zhang D.Feng Z P.Application of iterative generalized short-time 21918 Fourier transform to fault diagnosis of planetary gearboxes.Chin/ [13]Wang W Y.Early detection of gear tooth cracking using the Eg,2017,39(4:604 resonance demodulation technique.Mech Syst Signal Process, (张东,冯志鹏.迭代广义短时Fourier?变换在行星齿轮箱故障诊 2001,15(5):887 断中的应用.工程科学学报,2017,39(4):604) [14]FengZ P.Liang M,Chu FL.Recent advances in time-frequency [3] Zhao C.Feng Z P.Localized fault identification of planetary analysis methods for machinery fault diagnosis:a review with gearboxes based on multiple-domain manifold.Chin/Eng,2017, application examples.Mech Syst Signal Process,2013,38(1):165 39(5):769 [15]Hlawatsch F,Auger F.Time-Frequency Analysis:Concepts and (赵川,冯志鹏.基于多域流形的行星齿轮箱局部故障识别.工 Methods.Hoboken:John Wiley Sons,2008 程科学学报,2017,39(5):769) [16]Feng Z P,Chen X W Liang M.Iterative generalized [4]Chen X W,Feng Z P,Liang M.Planetary gearbox fault diagnosis synchrosqueezing transform for fault diagnosis of wind turbine under time-variant conditions based on iterative generalized planetary gearbox under nonstationary conditions.Mech Syst synchrosqueezing transform.J Mech Eng,2015,51(1):131 Signal Process,2015,52-53:360 (陈小旺,冯志鹏,Liang Ming基于迭代广义同步压缩变换的时 [17]Martin W,Flandrin P.Wigner -Ville spectral analysis of 变工况行星齿轮箱做障诊断.机械工程学报,2015,51(1):131) nonstationary processes.IEEE Trans Acoust Speech Signal [5]Yang TQ,Tang L W,Zheng H Q,et al.Research on diagnosing Proces8,1985,33(6):1461 gear fault of gearbox by acoustic method.J Ordnance Eng [18]Auger F,Flandrin P.Improving the readability of time-frequency College,.2000,12(4):24 and time-scale representations by the reassignment method./EEE (杨通强,唐力伟,郑海起,等.基于声测法的齿轮箱齿轮故障诊 Trans Signal Process,1995,43(5):1068 断研究.军械工程学院学报,2000,12(4):24) [19]Daubechies I,Lu J F,Wu H T.Synchrosqueezed wavelet [6] Lin J.Feature extraction of machine sound using wavelet and its transforms:An empirical mode decomposition-like tool.Appl application in fault diagnosis.NDTEIn,001,34(1):25 Comput Harmon Anal,2011,30(2上:243 [7] Rezaei A,Dadouche A.Wickramasinghe V,et al.A comparison [20]Yang H Z.Statistical analysis of synchrosqueezed transforms. study between acoustic sensors for bearing fault detection under Appl Comput Harmon Anal,2018,45(3):526 different speed and load using a variety of signal processing [21]Thakur G,Brevdo E,Fuckar N S,et al.The Synchrosqueezing techniques.Tribol Trans,2011,54(2):179 algorithm for time-varying spectral analysis:robustness properties [8] Metwalley S M,Hammad N,Abouel-Seoud S A.Vehicle gearbox and new paleoclimate applications.Signal Process,2013,93(5): fault diagnosis using noise measurements.Int J Energy Environ 1079 2011,2(2):357 [22]Yang H Z.Robustness analysis of synchrosqueezed transforms [9]Baydar N,Ball A.A comparative study of acoustic and vibration Statistics,2014:1 signals in detection of gear failures using Wigner -Ville [23]Latsenko D,McClintock P V E,Stefanovska A.Extraction of distribution.Mech Syst Signal Process,2001,15(6):1091 instantaneous frequencies from ridges in time-frequency repre- [10]Feng Z P.Chen X W.Liang M.et al.Time-frequency sentations of signals.Signal Process,2016,125:290 demodulation analysis based on iterative generalized demodulation [24]Pham D H,Meignen S.High-order synchrosqueezing transform for fault diagnosis of planetary gearbox under nonstationary for multicomponent signals analysis -with an application to conditions.Mech Syst Signal Process,2015,62-63:54 gravitational-wave signal.IEEE Trans Signal Process,2017, [11]Chen X W,Feng Z P.Application of reassigned wavelet scalogram 65(12):3168 in wind turbine planetary gearbox fault diagnosis under [25]Oberlin T,Meignen S,Perrier V.Second-order synchrosqueezing nonstationary conditions.Shock Vib,2016:6723267 transform or invertible reassignment?towards ideal time. [12]Chen X W,Feng Z P.Time-frequency analysis of torsional frequency representations.IEEE Trans Signal Process,2015, vibration signals in resonance region for planetary gearbox fault 63(5):1335化特性. 北京工业大学学报, 2018, 44(2):170) Zhang D, Feng Z P. Application of iterative generalized short-time Fourier transform to fault diagnosis of planetary gearboxes. Chin J Eng, 2017, 39(4): 604 (张东, 冯志鹏. 迭代广义短时Fourier变换在行星齿轮箱故障诊 断中的应用. 工程科学学报, 2017, 39(4):604) [2] Zhao C, Feng Z P. Localized fault identification of planetary gearboxes based on multiple-domain manifold. Chin J Eng, 2017, 39(5): 769 (赵川, 冯志鹏. 基于多域流形的行星齿轮箱局部故障识别. 工 程科学学报, 2017, 39(5):769) [3] Chen X W, Feng Z P, Liang M. Planetary gearbox fault diagnosis under time-variant conditions based on iterative generalized synchrosqueezing transform. J Mech Eng, 2015, 51(1): 131 (陈小旺, 冯志鹏, Liang Ming. 基于迭代广义同步压缩变换的时 变工况行星齿轮箱故障诊断. 机械工程学报, 2015, 51(1):131) [4] Yang T Q, Tang L W, Zheng H Q, et al. Research on diagnosing gear fault of gearbox by acoustic method. J Ordnance Eng College, 2000, 12(4): 24 (杨通强, 唐力伟, 郑海起, 等. 基于声测法的齿轮箱齿轮故障诊 断研究. 军械工程学院学报, 2000, 12(4):24) [5] Lin J. Feature extraction of machine sound using wavelet and its application in fault diagnosis. NDT & E Int, 2001, 34(1): 25 [6] Rezaei A, Dadouche A, Wickramasinghe V, et al. A comparison study between acoustic sensors for bearing fault detection under different speed and load using a variety of signal processing techniques. Tribol Trans, 2011, 54(2): 179 [7] Metwalley S M, Hammad N, Abouel-Seoud S A. Vehicle gearbox fault diagnosis using noise measurements. Int J Energy Environ, 2011, 2(2): 357 [8] Baydar N, Ball A. A comparative study of acoustic and vibration signals in detection of gear failures using Wigner –Ville distribution. Mech Syst Signal Process, 2001, 15(6): 1091 [9] Feng Z P, Chen X W, Liang M, et al. Time-frequency demodulation analysis based on iterative generalized demodulation for fault diagnosis of planetary gearbox under nonstationary conditions. Mech Syst Signal Process, 2015, 62-63: 54 [10] Chen X W, Feng Z P. Application of reassigned wavelet scalogram in wind turbine planetary gearbox fault diagnosis under nonstationary conditions. Shock Vib, 2016: 6723267 [11] Chen X W, Feng Z P. Time-frequency analysis of torsional vibration signals in resonance region for planetary gearbox fault [12] diagnosis under variable speed conditions. IEEE Access, 2017, 5: 21918 Wang W Y. Early detection of gear tooth cracking using the resonance demodulation technique. Mech Syst Signal Process, 2001, 15(5): 887 [13] Feng Z P, Liang M, Chu F L. Recent advances in time-frequency analysis methods for machinery fault diagnosis: a review with application examples. Mech Syst Signal Process, 2013, 38(1): 165 [14] Hlawatsch F, Auger F. Time-Frequency Analysis: Concepts and Methods. Hoboken: John Wiley & Sons, 2008 [15] Feng Z P, Chen X W Liang M. Iterative generalized synchrosqueezing transform for fault diagnosis of wind turbine planetary gearbox under nonstationary conditions. Mech Syst Signal Process, 2015, 52-53: 360 [16] Martin W, Flandrin P. Wigner –Ville spectral analysis of nonstationary processes. IEEE Trans Acoust Speech Signal Process, 1985, 33(6): 1461 [17] Auger F, Flandrin P. Improving the readability of time-frequency and time-scale representations by the reassignment method. IEEE Trans Signal Process, 1995, 43(5): 1068 [18] Daubechies I, Lu J F, Wu H T. Synchrosqueezed wavelet transforms: An empirical mode decomposition-like tool. Appl Comput Harmon Anal, 2011, 30(2): 243 [19] Yang H Z. Statistical analysis of synchrosqueezed transforms. Appl Comput Harmon Anal, 2018, 45(3): 526 [20] Thakur G, Brevdo E, Fuckar N S, et al. The Synchrosqueezing algorithm for time-varying spectral analysis: robustness properties and new paleoclimate applications. Signal Process, 2013, 93(5): 1079 [21] Yang H Z. Robustness analysis of synchrosqueezed transforms. Statistics, 2014: 1 [22] Latsenko D, McClintock P V E, Stefanovska A. Extraction of instantaneous frequencies from ridges in time –frequency repre￾sentations of signals. Signal Process, 2016, 125: 290 [23] Pham D H, Meignen S. High-order synchrosqueezing transform for multicomponent signals analysis —with an application to gravitational-wave signal. IEEE Trans Signal Process, 2017, 65(12): 3168 [24] Oberlin T, Meignen S, Perrier V. Second-order synchrosqueezing transform or invertible reassignment? towards ideal time￾frequency representations. IEEE Trans Signal Process, 2015, 63(5): 1335 [25] · 1054 · 工程科学学报,第 42 卷,第 8 期
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