Auto-OBSD: Automatic parameter selection for reliable Oscillatory Behavior-based Signal Decomposition with an application to bearing fault signature extraction-Reference-Cited by-同舟云学术

Auto-OBSD: Automatic parameter selection for reliable Oscillatory Behavior-based Signal Decomposition with an application to bearing fault signature extraction

Published:2017-03 Issue: Volume:86 Page:237-259
ISSN:0888-3270
Container-title:Mechanical Systems and Signal Processing
language:en
Short-container-title:Mechanical Systems and Signal Processing

Author:

Huang Huan,Baddour Natalie,Liang Ming

Funder

Natural Sciences and Engineering Research Council of Canada

China Scholarship Council

Publisher

Elsevier BV

Subject

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

Reference26 articles.

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3. The spectral kurtosis: a useful tool for characterising non-stationary signals;Antoni;Mech. Syst. Signal Process.,2006

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

5. A smoothness index-guided approach to wavelet parameter selection in signal de-noising and fault detection;Bozchalooi;J. Sound Vib.,2007

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