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Shock and Vibration
Volume 2014 (2014), Article ID 957531, 9 pages
http://dx.doi.org/10.1155/2014/957531
Research Article

Quantitative Diagnosis of Rotor Vibration Fault Using Process Power Spectrum Entropy and Support Vector Machine Method

1School of Energy and Power Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100191, China
2School of Computer Science and Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100191, China
3School of Life Science, Beijing Normal University, Beijing 100875, China

Received 19 November 2013; Revised 8 March 2014; Accepted 10 March 2014; Published 31 March 2014

Academic Editor: Valder Steffen

Copyright © 2014 Cheng-Wei Fei et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Cheng-Wei Fei, Guang-Chen Bai, Wen-Zhong Tang, and Shuang Ma, “Quantitative Diagnosis of Rotor Vibration Fault Using Process Power Spectrum Entropy and Support Vector Machine Method,” Shock and Vibration, vol. 2014, Article ID 957531, 9 pages, 2014. doi:10.1155/2014/957531