1-1 of 1
Keywords: materials testing
Close
Save search
Follow your search
Access your saved searches in your account
Would you like to receive an alert when new items match your search?
Close Modal
Sort by
Journal Articles

Feature Selection for Fault Detection in Rolling Element Bearings Using Mutual Information

Karthik Kappaganthu, C. Nataraj
Journal: Journal of Vibration and Acoustics
Publisher: ASME
Article Type: Research Papers
J. Vib. Acoust. December 2011, 133(6): 061001.
https://doi.org/10.1115/1.4003400
Published Online: September 9, 2011
... classification accuracy of 97% was obtained over a range of rotating speeds. 08 07 2010 30 10 2010 09 09 2011 09 09 2011 fault diagnosis feature extraction materials testing neural nets pattern classification rolling bearings vibrations Using Parzen’s window...
View Article titled, Feature Selection for Fault Detection in Rolling Element Bearings Using Mutual Information
Open the PDF for Feature Selection for Fault Detection in Rolling Element Bearings Using Mutual Information in another window
Topics: Bearings, Discrete wavelet transforms, Feature extraction, Feature selection, Flaw detection, Rolling bearings, Artificial neural networks, Signals