Kurtosis and crest factor simultaneous control for non-Gaussian random vibration test

被引:0
|
作者
Zheng, Ronghui [1 ,2 ]
Chen, FeiFei [1 ,2 ]
Wang, Guoping [1 ,2 ]
Yang, Fufeng [1 ,2 ]
机构
[1] Nanjing Univ Sci & Technol, Inst Launch Dynam, Nanjing 210094, Peoples R China
[2] Natl Key Lab Complex Multibody Syst Dynam, Nanjing 210094, Peoples R China
基金
中国国家自然科学基金;
关键词
Non-Gaussian random; Kurtosis; Crest factor; Closed-loop control; Vibration environmental testing;
D O I
10.1016/j.ymssp.2024.111760
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
Non-Gaussian random vibration tests have received increasing attention in the field of dynamic environmental testing. This paper presents a kurtosis and crest factor simultaneous control strategy for producing the preset stationary non-Gaussian random vibration environment. A novel generation method of non-Gaussian random vibration signal is proposed, which is composed of the shock and random signal components. The advantage of the method is that the kurtosis and crest factor of the signal can be controlled simultaneously and thus it can simulate more real nonGaussian random vibrations. The first four statistical properties of the proposed non-Gaussian random signal are formulated. Subsequently, a closed-loop control procedure for the nonGaussian random vibration test by kurtosis and crest factor control is elaborated. The monotonicity analyses of two crucial parameters on the kurtosis and crest factor control are discussed. Finally, a two-degree-of-freedom vibration simulation and a cantilever beam non-Gaussian vibration test are provided, and the results indicate the feasibility and validity of the presented control strategy.
引用
收藏
页数:11
相关论文
共 50 条
  • [41] Analysis of low damping ratios in multi-exciter stationary non-Gaussian random vibration control
    Zheng, Ronghui
    Chen, Huaihai
    Qin, Min
    Angeli, Andrea
    Vandepitte, Dirk
    JOURNAL OF VIBRATION AND CONTROL, 2020, 26 (17-18) : 1463 - 1470
  • [42] Synthesis approach of multiaxial vibration test profile for non-gaussian excitation
    Shuo Dou
    Zhiming Liu
    Liyong Mao
    Journal of Mechanical Science and Technology, 2021, 35 : 5309 - 5321
  • [43] Synthesis approach of multiaxial vibration test profile for non-gaussian excitation
    Dou, Shuo
    Liu, Zhiming
    Mao, Liyong
    JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY, 2021, 35 (12) : 5309 - 5321
  • [44] Inverse Multistep Prediction Method for MIMO Non-Gaussian Vibration Test
    Zheng W.
    Chen H.
    Zheng R.
    Chen, Huaihai (chhnuaa@nuaa.edu.cn), 1600, Nanjing University of Aeronautics an Astronautics (40): : 812 - 817
  • [45] Non-Gaussian random vibration damage analysis of logistics based on a Gaussian mixture model method
    Guo, Tao
    Ge, Changfeng
    Xia, Sixuan
    Yin, Cheng
    Lin, Rang
    Qian, Jing
    Zhendong yu Chongji/Journal of Vibration and Shock, 2024, 43 (12): : 203 - 211
  • [46] Crest factor and kurtosis parameter under vibrational random loading
    Nieslony, Adam
    Bohm, Michal
    Owsinski, Robert
    INTERNATIONAL JOURNAL OF FATIGUE, 2021, 147
  • [47] Fast evaluation of central moments for non-Gaussian random loads in vibration fatigue
    Palmieri, M.
    Slavic, J.
    Cianetti, F.
    MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2025, 228
  • [48] Effect of non-Gaussian random vibration on packaging response using numerical simulation
    Hosoyama, Akira
    Saito, Katsuhiko
    Nakajima, Takamasa
    Journal of Packaging Science and Technology, 2012, 21 (06): : 471 - 478
  • [49] Non-Gaussian ocean ambient noise model with certain kurtosis
    SONG Guoli
    GUO Xinyi
    MA Li
    LI He
    Chinese Journal of Acoustics, 2020, 39 (04) : 498 - 511
  • [50] MRI quantification of non-Gaussian water diffusion by kurtosis analysis
    Jensen, Jens H.
    Helpern, Joseph A.
    NMR IN BIOMEDICINE, 2010, 23 (07) : 698 - 710