연구동향 분석

Compound fault diagnosis of bearings using improved fast spectral kurtosis with VMD

Shuting Wan Xiong Zhang Longjiang Dou 2018년

논문상세정보
    • 저자 Shuting Wan Xiong Zhang Longjiang Dou
    • 제어번호 105941612
    • 학술지명 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY
    • 권호사항 Vol. 32 No. 11 [ 2018 ]
    • 발행처 대한기계학회
    • 자료유형 학술저널
    • 수록면 5189-5199
    • 언어 English
    • 출판년도 2018
    • 등재정보 KCI등재
    • 판매처
    유사주제 논문( 0)
인용/피인용

' Compound fault diagnosis of bearings using improved fast spectral kurtosis with VMD' 의 참고문헌

  • Variational mode decomposition
  • The spectral kurtosis: application to the vibratory surveillance and diagnostics of rotating machines
    J. Antoni [2006]
  • The spectral kurtosis: A useful tool for characterising non-stationary signals
    J. Antoni [2006]
  • The infogram: Entropic evidence of the signature of repetitive transients
    J. Antoni [2016]
  • Rolling element bearing diagnostics—A tutorial
  • Research on variational mode decomposition and its application in detecting rub-impact fault of the rotor system
    Y. Wang [2015]
  • Realizing the empirical mode decomposition by the adaptive stochastic resonance in a new periodical model and its application in bearing fault diagnosis
  • Periodicity-based kurtogram for random impulse resistance
    X. Xu [2015]
  • Improvement of kurtosisguided-grams via Gini index for bearing fault feature identification
    Y. Miao [2017]
  • Fast computation of the kurtogram for the detection of transient faults
    J. Antoni [2007]
  • Diagnosis of compound faults of rolling bearings through adaptive maximum correlated kurtosis deconvolution
    Guiji Tang [2016]
  • Compound fault diagnosis of bearings using an improved spectral kurtosis by MCDK
    S. Wan [2018]
  • Bearing signature analysis as a medium for fault detection: A review
    M. S. Patil [2008]
  • Bearing fault diagnosis based on variational mode decomposition and total variation denoising
    S. Zhang [2016]
  • Bearing fault detection utilizing group delay and the Hilbert-Huang transform
    Shuai Jin [2017]
  • Application of an improved minimum entropy deconvolution method for railway rolling element bearing fault diagnosis
    Y. Cheng [2018]
  • Application of an improved kurtogram method for fault diagnosis of rolling element bearings
    Y. Lei [2011]
  • An enhanced Kurtogram method for fault diagnosis of rolling element bearings
    D. Wang [2013]
  • Adaptive estimation of VMD modes number based on cross correlation coefficient
    H. Yang [2017]
  • A parameteradaptive VMD method based on grasshopper optimization algorithm to analyze vibration signals from rotating machinery
    X. Zhang [2018]
  • A novel method for mechanical fault diagnosis based on variational mode decomposition and multikernel support vector machine
    Z. Lv [2016]
  • A new SKRgram based demodulation technique for planet bearing fault detection
    T. Wang [2016]