Application of instantaneous phase analysis based on empirical mode decomposition

被引:0
|
作者
Department of Computer, Shijiazhuang Institute of Railway Technology, Shijiazhuang 050041, China [1 ]
不详 [2 ]
机构
关键词
D O I
暂无
中图分类号
学科分类号
摘要
A novel method of instantaneous phase analysis based on empirical mode decomposition is presented. Firstly, the empirical mode decompositions of the vibration signals result in the intrinsic mode functions with different time scales. Then, the Hilbert transform is applied to each intrinsic mode function, therefore, the instantaneous phase is obtained. Finally, the fast Fourier transform is applied to the instantaneous phase, and the feature is extracted by the frequency spectrum analysis. The method is introduced in theory and is used to diagnose bearing faults. In order to recognize the fault features, the instantaneous phase analysis and the fast Fourier transform are applied to the selected intrinsic mode functions standing for the bearing faults. The experimental results show that the instantaneous phase analysis based on empirical mode decomposition can effectively diagnose the bearing faults.
引用
收藏
页码:9 / 12
相关论文
共 50 条
  • [1] Instantaneous Frequency Estimation Based on Empirical Mode Decomposition
    Hu, Hongying
    Kang, Jing
    Guan, Lina
    2008 7TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-23, 2008, : 3049 - +
  • [2] Empirical mode decomposition based on instantaneous frequency boundary
    Li, Jiafu
    Wang, Jun
    Zhang, Xiaolin
    Tang, Wenyan
    ELECTRONICS LETTERS, 2017, 53 (12) : 781 - 782
  • [3] EMPIRICAL MODE DECOMPOSITION BASED INSTANTANEOUS FREQUENCY AND SEISMIC THIN-BED ANALYSIS
    Zhou, Yanhui
    Chen, Wenchao
    Gao, Jinghuai
    He, Yongqiang
    JOURNAL OF SEISMIC EXPLORATION, 2010, 19 (02): : 161 - 172
  • [4] Instantaneous phase difference analysis between thoracic and abdominal movement signals based on complementary ensemble empirical mode decomposition
    Chen, Ya-Chen
    Hsiao, Tzu-Chien
    BIOMEDICAL ENGINEERING ONLINE, 2016, 15
  • [5] Instantaneous phase difference analysis between thoracic and abdominal movement signals based on complementary ensemble empirical mode decomposition
    Ya-Chen Chen
    Tzu-Chien Hsiao
    BioMedical Engineering OnLine, 15
  • [6] Analysis and application of empirical mode decomposition algorithm
    Xie, Qi-Wei
    Xuan, Bo
    Li, Jian-Ping
    Han, Hua
    Xitong Gongcheng Lilun yu Shijian/System Engineering Theory and Practice, 2009, 29 (11): : 168 - 176
  • [7] Issues with the Application of Empirical Mode Decomposition Analysis
    Peel, M. C.
    Amirthanathan, G. E.
    Pegram, G. G. S.
    McMahon, T. A.
    Chiew, F. H. S.
    MODSIM 2005: INTERNATIONAL CONGRESS ON MODELLING AND SIMULATION: ADVANCES AND APPLICATIONS FOR MANAGEMENT AND DECISION MAKING: ADVANCES AND APPLICATIONS FOR MANAGEMENT AND DECISION MAKING, 2005, : 1681 - 1687
  • [8] Empirical mode decomposition based on kernel principal component analysis with application
    Wang, Lei
    Wang, Feng-Tao
    Zhu, Hong
    Zhang, Zhi-Xin
    Guo, Zheng-Gang
    Zhendong yu Chongji/Journal of Vibration and Shock, 2010, 29 (02): : 39 - 41
  • [9] ADVANCES IN EMPIRICAL MODE DECOMPOSITION FOR COMPUTING INSTANTANEOUS AMPLITUDES AND INSTANTANEOUS FREQUENCIES
    Sandoval, Steven
    De Leon, Phillip L.
    2017 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), 2017, : 4311 - 4315
  • [10] Estimation of Instantaneous Frequency from Empirical Mode Decomposition on Respiratory Sounds Analysis
    Lozano, Manuel
    Fiz, Jose A.
    Jane, Raimon
    2013 35TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), 2013, : 981 - 984