Fault diagnosis method of rolling bearing based on 1.5-dimensional envelope spectrum

被引:0
|
作者
Xu Xiaoli [1 ]
Jiang Zhanglei [1 ]
Liang Hao [1 ]
Li Yuheng [1 ]
机构
[1] Beijing Informat Sci & Technol Univ, Key Lab Modern Measurement & Control Technol, Minist Educ, Beijing 100192, Peoples R China
关键词
1.5-dimensional spectrum; frequency coupling; fault diagnosis;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Aiming at the difficulty of extracting early fault features of rolling bearings, a fault feature extraction method based on 1.5-dimensional envelope spectrum is proposed. It is proved by formula that the 1.5-dimensional spectrum can not satisfy the quadratic phase coupling, and can be used only when the quadratic frequency coupling is satisfied., which is very helpful for the 1.5-dimensional spectrum analysis of actual signals. Firstly, the vibration signal is demodulated by envelope, and the envelope signal is extracted. Then the envelope signal is processed by 1.5 dimension spectrum to extract the fault characteristics. Through the analysis of the experimental data, the validity of 1.5 dimension envelope spectrum in rolling bearing fault diagnosis is verified
引用
收藏
页码:1163 / 1168
页数:6
相关论文
共 50 条
  • [1] Rolling Bearing Fault Diagnosis Based on 1.5-Dimensional Spectrum
    Zhang, Xueli
    Jiang, Hongkai
    [J]. PROCEEDINGS OF THE FIRST SYMPOSIUM ON AVIATION MAINTENANCE AND MANAGEMENT-VOL II, 2014, 297 : 433 - 440
  • [2] Fault diagnosis of rolling bearing based on PPCA and 1.5-dimensional energy spectrum
    Wan, Shuting
    Zhang, Xiong
    Nan, Bing
    Zhang, Lijia
    [J]. Dianli Zidonghua Shebei/Electric Power Automation Equipment, 2018, 38 (06): : 172 - 176
  • [3] Rolling Bearing Fault Diagnosis Based on Minimum Entropy Deconvolution and 1.5-Dimensional Teager Energy Spectrum
    Dong Suge
    Pan Liwu
    Hu Daidi
    Ge Mingtao
    [J]. PROCEEDINGS OF 2015 4TH INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND NETWORK TECHNOLOGY (ICCSNT 2015), 2015, : 192 - 197
  • [4] Application of EMD and 1.5-dimensional spectrum in fault feature extraction of rolling bearing
    Jiang, Zhanglei
    Wu, Yapeng
    Li, Jun
    Liu, Yaru
    Wang, Jifang
    Xu, Xiaoli
    [J]. JOURNAL OF ENGINEERING-JOE, 2019, 2019 (23): : 8843 - 8847
  • [5] Compound fault diagnosis method of rolling bearings by Autogram resonance demodulation and 1.5-dimensional spectrum
    Wang, Hui-Bin
    Yan, Chang-Feng
    Meng, Jia-Dong
    Chen, Guang-Yi
    Wu, Li-Xiao
    [J]. Zhendong Gongcheng Xuebao/Journal of Vibration Engineering, 2022, 35 (06): : 1541 - 1551
  • [6] Bearing Fault Diagnosis Based on Iterative 1.5-Dimensional Spectral Kurtosis
    Zhang, Xiong
    Wan, Shuting
    He, Yuling
    Wang, Xiaolong
    Dou, Longjiang
    [J]. IEEE ACCESS, 2020, 8 : 174233 - 174243
  • [7] Fault diagnosis method of rolling bearing based on MVMD and full vector envelope spectrum
    Huang, Chuanjin
    Song, Haijun
    Yang, Shixi
    Chi, Yongwei
    Huang, Haizhou
    Hao, Shuang
    Guo, Shengbin
    [J]. Dianli Zidonghua Shebei/Electric Power Automation Equipment, 2021, 41 (12): : 172 - 177
  • [8] A Fault Diagnosis Method based on Singular Spectrum Decomposition and Envelope Autocorrelation for Rolling Bearing
    Niu, Ben
    Li, Maolin
    Jia, Linshan
    Shan, Lei
    Liang, Lin
    [J]. PROCEEDINGS OF 2019 IEEE 8TH JOINT INTERNATIONAL INFORMATION TECHNOLOGY AND ARTIFICIAL INTELLIGENCE CONFERENCE (ITAIC 2019), 2019, : 920 - 925
  • [9] Study onWear Fault Diagnosis of Planetary Gearbox Based on STOA-VMD Combined with 1.5-Dimensional Envelope Spectrum
    Zhang, Jiashuai
    Jiang, Zhanglei
    Wu, Guoxin
    Bi, Haocheng
    [J]. PROCEEDINGS OF TEPEN 2022, 2023, 129 : 90 - 102
  • [10] Multivariate local characteristic-scale decomposition and 1.5-dimensional empirical envelope spectrum based gear fault diagnosis
    Zhou, Jie
    Yang, Yu
    Li, Xin
    Shao, Haidong
    Cheng, Junsheng
    [J]. MECHANISM AND MACHINE THEORY, 2022, 172