A Tutorial Review on Time-Frequency Analysis of Non-Stationary Vibration Signals with Nonlinear Dynamics Applications

被引:21
作者
Varanis, Marcus [1 ]
Silva, Anderson L. [2 ]
Balthazar, Jose M. [3 ]
Pederiva, Robson [4 ]
机构
[1] Fed Univ Grande Dourados, Fac Engn, Rodovia Dourados Itahum,Km 12,S-N, Dourados, MS, Brazil
[2] Univ Fed Parana, Mech Engn Dept, Av Cel Francisco H Santos 230,Jardim Amer, Curitiba, Parana, Brazil
[3] Univ Tecnol Fed Parana, R Doutor Washington Subtil Chueire,S-N,Jardim Car, Ponta Grossa, Parana, Brazil
[4] Univ Estadual Campinas, Sch Mech Engn, Rua Mendeleyev 200,Cidade Univ Zeferino Vaz, Campinas, SP, Brazil
关键词
Time-frequency analysis; Non-stationary signals; Sommerfeld effect; Nonlinear jump; Nonlinear dynamics; SYNCHROSQUEEZED WAVELET TRANSFORM; EMPIRICAL MODE DECOMPOSITION; HILBERT-HUANG TRANSFORM; SPECTRAL KURTOSIS; SYSTEM-IDENTIFICATION; FAULT-DIAGNOSIS; INSTANTANEOUS FREQUENCY; DAMAGE DETECTION; PARAMETERS; ALGORITHM;
D O I
10.1007/s13538-020-00842-y
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
Time-frequency analysis (TFA) for mechanical vibrations in non-stationary operations is the main subject of this article, concisely written to be an introducing tutorial comparing different time-frequency techniques for non-stationary signals. The theory was carefully exposed and complemented with sample applications on mechanical vibrations and nonlinear dynamics. A particular phenomenon that is also observed in non-stationary systems is the Sommerfeld effect, which occurs due to the interaction between a non-ideal energy source and a mechanical system. An application through TFA for the characterization of the Sommerfeld effect is presented. The techniques presented in this article are applied in synthetic and experimental signals of mechanical systems, but the techniques presented can also be used in the most diverse applications and also in the numerical solution of differential equations.
引用
收藏
页码:859 / 877
页数:19
相关论文
共 128 条
  • [1] Addison PS., 2017, The Illustrated Wavelet Transform Handbook, DOI DOI 10.1201/9781315372556
  • [2] A novel methodology for modal parameters identification of large smart structures using MUSIC, empirical wavelet transform, and Hilbert transform
    Amezquita-Sanchez, Juan P.
    Park, Hyo Seon
    Adeli, Hojjat
    [J]. ENGINEERING STRUCTURES, 2017, 147 : 148 - 159
  • [3] Structural Health Monitoring approach for detecting ice accretion on bridge cable using the Haar Wavelet Transform
    Andre, Julia
    Kiremidjian, Anne
    Liao, Yizheng
    Georgakis, Christos
    Rajagopal, Ram
    [J]. SENSORS AND SMART STRUCTURES TECHNOLOGIES FOR CIVIL, MECHANICAL, AND AEROSPACE SYSTEMS 2016, 2016, 9803
  • [4] [Anonymous], 2016, REV BRAS ENSINO FIS
  • [5] [Anonymous], 2008, NONLINEAR OSCIL
  • [6] [Anonymous], 2012, THESIS PRINCETON U P
  • [7] The spectral kurtosis: a useful tool for characterising non-stationary signals
    Antoni, J
    [J]. MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2006, 20 (02) : 282 - 307
  • [8] Time-Frequency Reassignment and Synchrosqueezing
    Auger, Francois
    Flandrin, Patrick
    Lin, Yu-Ting
    McLaughlin, Stephen
    Meignen, Sylvain
    Oberlin, Thomas
    Wu, Hau-Tieng
    [J]. IEEE SIGNAL PROCESSING MAGAZINE, 2013, 30 (06) : 32 - 41
  • [9] Short comments on self-synchronization of two non-ideal sources supported by a flexible portal frame structure
    Balthazar, JM
    Felix, JLP
    Brasil, RMLRF
    [J]. JOURNAL OF VIBRATION AND CONTROL, 2004, 10 (12) : 1739 - 1748
  • [10] An overview on non-ideal vibrations
    Balthazar, JM
    Mook, DT
    Weber, HI
    Brasil, RMLRF
    Fenili, A
    Belato, D
    Felix, JLP
    [J]. MECCANICA, 2003, 38 (06) : 613 - 621