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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: A. Moosavian,  H. Ahmadi,  A. Tabatabaeefar and  B. Sakhaei  
Open Access
|Sep 2012

Authors

A. Moosavian

a.moosavian@ut.ac.ir

Department of Mechanical Engineering of Agricultural Machinery, University of Tehran

H. Ahmadi

Department of Mechanical Engineering of Agricultural Machinery, University of Tehran

A. Tabatabaeefar

Department of Mechanical Engineering of Agricultural Machinery, University of Tehran

B. Sakhaei

Department of Mechanical Engineering, Sharif University of Technology, Tehran, Iran
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: Professor Subhas Chandra Mukhopadhyay
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 Professor Subhas Chandra Mukhopadhyay
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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