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The Scientific World Journal
Volume 2014, Article ID 582042, 11 pages
http://dx.doi.org/10.1155/2014/582042
Research Article

Satellite Fault Diagnosis Using Support Vector Machines Based on a Hybrid Voting Mechanism

1College of Computer, National University of Defense Technology, Changsha 410073, China
2Xiangyang School for NCOs, Xiangyang 441118, China

Received 6 May 2014; Accepted 16 July 2014; Published 12 August 2014

Academic Editor: K. I. Ramachandran

Copyright © 2014 Hong Yin 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

Hong Yin, Shuqiang Yang, Xiaoqian Zhu, Songchang Jin, and Xiang Wang, “Satellite Fault Diagnosis Using Support Vector Machines Based on a Hybrid Voting Mechanism,” The Scientific World Journal, vol. 2014, Article ID 582042, 11 pages, 2014. https://doi.org/10.1155/2014/582042.