A general sequential Monte Carlo method based optimal wavelet filter: A Bayesian approach for extracting bearing fault features

Title
A general sequential Monte Carlo method based optimal wavelet filter: A Bayesian approach for extracting bearing fault features
Authors
Keywords
Bearing, Fault diagnosis, Monte Carlo methods, Optimization, Wavelet transforms, Vibrations
Journal
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
Volume 52-53, Issue -, Pages 293-308
Publisher
Elsevier BV
Online
2014-08-20
DOI
10.1016/j.ymssp.2014.07.005

Ask authors/readers for more resources

Reprint

Contact the author

Find Funding. Review Successful Grants.

Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.

Explore

Become a Peeref-certified reviewer

The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.

Get Started