Fault diagnosis of rolling bearings based on multifractal detrended fluctuation analysis and Mahalanobis distance criterion-Reference-Cited by-同舟云学术

Fault diagnosis of rolling bearings based on multifractal detrended fluctuation analysis and Mahalanobis distance criterion

Published:2013-07 Issue:2 Volume:38 Page:515-533
ISSN:0888-3270
Container-title:Mechanical Systems and Signal Processing
language:en
Short-container-title:Mechanical Systems and Signal Processing

Author:

Lin Jinshan,Chen Qian

Publisher

Elsevier BV

Subject

Computer Science Applications,Mechanical Engineering,Aerospace Engineering,Civil and Structural Engineering,Signal Processing,Control and Systems Engineering

Reference48 articles.

1. Rolling element bearing diagnostics—a tutorial;Randall;Mech. Syst. Signal Process.,2011

2. Statistical analysis of sound and vibration signals for monitoring rolling element bearing condition;Heng;Appl. Acoust.,1998

3. Rolling element bearing fault diagnosis using laplace-wavelet envelope power spectrum;Al-Raheem;Eurasip J. Adv. Signal Process.,2007

4. Weak fault feature extraction of rolling bearing based on cyclic Wiener filter and envelope spectrum;Ming;Mech. Syst. Signal Process.,2011

5. The spectral kurtosis: application to the vibratory surveillance and diagnostics of rotating machines;Antoni;Mech. Syst. Signal Process.,2006

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