Teager Energy Spectrum for Fault Diagnosis of Rolling Element Bearings

被引:2
|
作者
Feng, Zhipeng [1 ]
Wang, Tianjin [1 ]
Zuo, Ming J. [2 ]
Chu, Fulei [3 ]
Yan, Shaoze [3 ]
机构
[1] Univ Sci & Technol Beijing, Sch Mech Engn, Beijing 100083, Peoples R China
[2] Univ Alberta, Dept Mech Engn, Edmonton, AB T6G 2G8, Canada
[3] Tsinghua Univ, Dept Precis Instruments & Mech, Beijing 100084, Peoples R China
基金
中国国家自然科学基金; 加拿大自然科学与工程研究理事会; 北京市自然科学基金;
关键词
VIBRATION;
D O I
10.1088/1742-6596/305/1/012129
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
Localized damage of rolling element bearings generates periodic impulses during running. The repeating frequency of impulses is a key indicator for diagnosing the localized damage of bearings. A new method, called Teager energy spectrum, is proposed to diagnose the faults of rolling element bearings. It exploits the unique advantages of Teager energy operator in detecting transient components in signals to extract periodic impulses of bearing faults, and uses the Fourier spectrum of Teager energy to identify the characteristic frequency of bearing faults. The effectiveness of the proposed method is validated by analyzing the experimental bearing vibration signals.
引用
收藏
页数:7
相关论文
共 50 条
  • [1] Fault diagnosis of rolling element bearings based on Teager energy operator
    Wang, Tian-Jin
    Feng, Zhi-Peng
    Hao, Ru-Jiang
    Chu, Fu-Lei
    [J]. Zhendong yu Chongji/Journal of Vibration and Shock, 2012, 31 (02): : 1 - 5
  • [2] Fault diagnosis of rolling bearings based on the MOMEDA and Teager energy operator
    Zhu, Xiaoyan
    Wang, Yongjie
    [J]. Zhendong yu Chongji/Journal of Vibration and Shock, 2018, 37 (06): : 104 - 110
  • [3] Fault diagnosis of rolling element bearings based on cascaded combination top-hat product filter and Teager energy spectrum
    Zhao, Siyu
    Chen, Changzheng
    Luo, Yuanqing
    Liang, Shuman
    Dong, Zhixu
    Kong, Xiangxi
    [J]. MEASUREMENT SCIENCE AND TECHNOLOGY, 2021, 32 (10)
  • [4] Fault diagnosis of rolling element bearings with a spectrum searching method
    Li, Wei
    Qiu, Mingquan
    Zhu, Zhencai
    Jiang, Fan
    Zhou, Gongbo
    [J]. MEASUREMENT SCIENCE AND TECHNOLOGY, 2017, 28 (09)
  • [5] Application of Teager-Kaiser Energy Operator in the Early Fault Diagnosis of Rolling Bearings
    Shi, Xiangfu
    Zhang, Zhen
    Xia, Zhiling
    Li, Binhua
    Gu, Xin
    Shi, Tingna
    [J]. SENSORS, 2022, 22 (17)
  • [6] Fault diagnosis of rolling element bearings based on FDK and Hilbert spectrum
    Wu, Qianping
    Li, Wei
    [J]. PROCEEDINGS OF 2016 IEEE FAR EAST FORUM ON NONDESTRUCTIVE EVALUATION/TESTING: NEW TECHNOLOGY & APPLICATION (IEEE FENDT 2016), 2016, : 174 - 180
  • [7] Rolling element bearing fault diagnosis based on 1.5-dimensional Teager kurtosis spectrum
    School of Energy Power and Mechanical Engineering, North China Electric Power University, Baoding
    071003, China
    [J]. J Vib Shock, 15 (72-76):
  • [8] Incipient fault diagnosis of rolling bearings based on dual-tree complex wavelet packet transform adaptive Teager energy spectrum
    Ren, Xueping
    Wang, Chaoge
    Zhang, Yuhao
    Wang, Jianguo
    [J]. Zhendong yu Chongji/Journal of Vibration and Shock, 2017, 36 (10): : 84 - 92
  • [9] Early fault diagnosis of rolling bearings based on adaptive variational mode decomposition and the Teager energy operator
    Gu, Ran
    Chen, Jie
    Hong, Rongjing
    Pan, Yubin
    Li, Yuanyuan
    [J]. Zhendong yu Chongji/Journal of Vibration and Shock, 2020, 39 (08): : 1 - 7
  • [10] Incipient fault diagnosis of rolling bearings based on adaptive variational mode decomposition and Teager energy operator
    Gu, Ran
    Chen, Jie
    Hong, Rongjing
    Wang, Hua
    Wu, Weiwei
    [J]. MEASUREMENT, 2020, 149