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Journal of Sensors
Volume 2017, Article ID 6737295, 14 pages
https://doi.org/10.1155/2017/6737295
Research Article

Improving Rolling Bearing Fault Diagnosis by DS Evidence Theory Based Fusion Model

1Key Laboratory of Advanced Manufacturing Technology, Ministry of Education, Guizhou University, Guiyang 550025, China
2School of Mechanical Engineering, Guizhou University, Guiyang 550025, China
3Department of Computer Science and Engineering, University of South Carolina, Columbia, SC 29208, USA

Correspondence should be addressed to Shaobo Li; nc.ude.uzg@oboahsil

Received 28 May 2017; Revised 30 August 2017; Accepted 17 September 2017; Published 22 October 2017

Academic Editor: Guiyun Tian

Copyright © 2017 Xuemei Yao 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

Xuemei Yao, Shaobo Li, and Jianjun Hu, “Improving Rolling Bearing Fault Diagnosis by DS Evidence Theory Based Fusion Model,” Journal of Sensors, vol. 2017, Article ID 6737295, 14 pages, 2017. https://doi.org/10.1155/2017/6737295.