Combined fault frequency demodulation analysis for a planetary gearbox based on VMD

被引:0
|
作者
Li, Xiao [1 ]
Feng, Zhipeng [1 ]
机构
[1] School of Mechanical Engineering, University of Science and Technology Beijing, Beijing,100083, China
来源
关键词
Functions - Gears - Intrinsic mode functions - Frequency modulation - Spectrum analysis - Vibration analysis - Frequency domain analysis;
D O I
10.13465/j.cnki.jvs.2020.03.006
中图分类号
学科分类号
摘要
Combined fault vibration signals of a planetary gearbox with features of multi-source modulation and complex sideband structure in frequency domain. It is difficult to effectively extract gear fault features with conventional Fourier spectral analysis. However, the frequency modulation part of combined fault vibration signals contains fault information and is independent on the vibration transfer path. Here, a frequency demodulation analysis method based on the variational mode decomposition was proposed to extract combined fault features of a planetary gearbox. Firstly, the single-component number was determined according to sampling frequency and carrier one. Then, a multi-component signal was adaptively decomposed into a series of intrinsic mode functions with the variational mode decomposition. Instantaneous frequency of each intrinsic mode function was calculated, and sensitive single-component was selected according to the matching relation between central frequency and meshing one. Finally, instantaneous frequency spectrum of each sensitive single-component was analyzed to diagnose combined faults. The effectiveness of the proposed method was verified through analyzing simulated vibration signals and test ones, and combined faults of sun gear-planet one, sun gear-gear ring and planet gear-gear ring were diagnosed. © 2020, Editorial Office of Journal of Vibration and Shock. All right reserved.
引用
收藏
页码:38 / 45
相关论文
共 50 条
  • [1] Planetary gearbox fault diagnosis via current signature analysis based on ICEEMDAN and frequency demodulation
    Guan, Yichen
    Tong, Pan
    Feng, Zhipeng
    [J]. Zhendong yu Chongji/Journal of Vibration and Shock, 2019, 38 (24): : 41 - 47
  • [2] Time-frequency demodulation analysis based on iterative generalized demodulation for fault diagnosis of planetary gearbox under nonstationary conditions
    Feng, Zhipeng
    Chen, Xiaowang
    Liang, Ming
    Ma, Fei
    [J]. MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2015, 62-63 : 54 - 74
  • [3] Planetary Gearbox Fault diagnosis via Joint Amplitude and Frequency Demodulation Analysis Based on Variational Mode Decomposition
    Feng, Zhipeng
    Zhang, Dong
    Zuo, Ming J.
    [J]. APPLIED SCIENCES-BASEL, 2017, 7 (08):
  • [4] Planetary gearbox fault diagnosis based on PSO-VMD and PMMSE
    Yang Dawei
    Zhao Yongdong
    Feng Fuzhou
    Jiang Pengcheng
    [J]. YOUNG SCIENTISTS FORUM 2017, 2018, 10710
  • [5] Joint amplitude and frequency demodulation analysis based on intrinsic time-scale decomposition for planetary gearbox fault diagnosis
    Feng, Zhipeng
    Lin, Xuefeng
    Zuo, Ming J.
    [J]. MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2016, 72-73 : 223 - 240
  • [6] Planetary Gearbox Fault Diagnosis Using Envelope Manifold Demodulation
    Wen, Weigang
    Gao, Robert X.
    Cheng, Weidong
    [J]. SHOCK AND VIBRATION, 2016, 2016
  • [7] Fault Diagnosis of Planetary Gearboxes Based on Improved EEMD and Frequency Demodulation Analysis
    Liu, Haohua
    Li, Fangyi
    Yang, Feng
    Nie, Yanyan
    Wang, Liming
    Zhang, Shanshan
    [J]. SUSTAINABLE DESIGN AND MANUFACTURING 2018, KES-SDM-18, 2019, 130 : 137 - 147
  • [8] Research on fault diagnosis method of tank planetary gearbox based on VMD-DE
    Wu, Shoujun
    Feng, Fuzhou
    Wu, Chunzhi
    Li, Ben
    [J]. Zhendong yu Chongji/Journal of Vibration and Shock, 2020, 39 (10): : 170 - 179
  • [9] Joint envelope and frequency order spectrum analysis based on iterative generalized demodulation for planetary gearbox fault diagnosis under nonstationary conditions
    Feng, Zhipeng
    Chen, Xiaowang
    Liang, Ming
    [J]. MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2016, 76-77 : 242 - 264
  • [10] Untrained Compound Fault Diagnosis for Planetary Gearbox Based on Adaptive Learning VMD and DSSECNN
    Kong, Xiaojia
    Meng, Liang
    Su, Yuanhao
    Xu, Tongle
    Lan, Xiaosheng
    Li, Yunfeng
    [J]. IEEE SENSORS JOURNAL, 2023, 23 (11) : 11838 - 11854