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An Appropriate Procedure for Detection of Journal-Bearing Fault using Power Spectral Density, K-Nearest Neighbor and Support Vector Machine Cover

An Appropriate Procedure for Detection of Journal-Bearing Fault using Power Spectral Density, K-Nearest Neighbor and Support Vector Machine

International Journal on Smart Sensing and Intelligent Systems
Volume 5 (2012): Issue 3 (January 2012)
By: ,  ,   and    
Open Access
|Sep 2012
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DOI: https://doi.org/10.21307/ijssis-2017-502 | Journal eISSN: 1178-5608
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Language: English
Page range: 685 - 700
Accepted on: Aug 5, 2012
Published on: Sep 1, 2012
Published by: Macquarie University, Australia
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
Keywords:
condition monitoring,
power spectral density,
k-nearest neighbor,
support vector machine,
vibration signal,
fault diagnosis
Related subjects:
Engineering,
Introductions and overviews,
Engineering, other

© 2012 A. Moosavian, H. Ahmadi, A. Tabatabaeefar, B. Sakhaei, published by Macquarie University, Australia
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Volume 5 (2012): Issue 3 (January 2012)
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