• DocumentCode
    1769150
  • Title

    Fault detection of rolling bearings through vibration analysis via the hybrid CEEMD-EMD approach

  • Author

    Jie Bian ; Ping Wang ; Qing Mei ; Lei, M.

  • Author_Institution
    Aviation Key Lab. of Aero-engine Vibration Technol., AVIC Aviation Powerplant Res. Inst., Zhuzhou, China
  • fYear
    2014
  • fDate
    24-27 Aug. 2014
  • Firstpage
    245
  • Lastpage
    250
  • Abstract
    This paper presents a composited method named as CEEMD-EMD (complementary EEMD and EMD) to analyze rolling bearings´ defective signals. Through CEEMD-EMD method, some interested intrinsic mode functions (IMFs) were collected, and then calculated envelope spectrum was used to identify the defects in the rolling bearings. The advantages of CEEMD-EMD method over EMD and CEEMD methods were obtained by simulation estimation. The calculation showed CEEMD-EMD method not only overcomes the disadvantage of mode mixing problem, but also removes residual noise and solves mode splitting problem. Then CEEMD-EMD approach was used to analyze vibration signals of rolling bearings. The analysis results demonstrated CEEMD-EMD approach combined with envelope spectrum analysis is an ideal and valid way to extract fault features in the testing signals of rolling bearings.
  • Keywords
    fault diagnosis; feature extraction; mechanical engineering computing; rolling bearings; signal denoising; vibrations; IMFs; complementary EEMD; composited method; defect identification; defective signal analysis; envelope spectrum analysis; fault detection; fault feature extraction; hybrid CEEMD-EMD approach; intrinsic mode functions; mode mixing problem; mode splitting problem; residual noise removal; rolling bearings; simulation estimation; vibration analysis; vibration signal analysis; Fault detection; Fault diagnosis; Machinery; Rolling bearings; Time-frequency analysis; Vibrations; ball bearing; complementary ensemble empirical mode decomposition; empirical mode decompositon; envelope spectrum analysis; fault detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Prognostics and System Health Management Conference (PHM-2014 Hunan), 2014
  • Conference_Location
    Zhangiiaijie
  • Print_ISBN
    978-1-4799-7957-8
  • Type

    conf

  • DOI
    10.1109/PHM.2014.6988172
  • Filename
    6988172