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Shock and Vibration
Volume 20 (2013), Issue 5, Pages 833-846

Safety Region Estimation and State Identification of Rolling Bearing Based on Statistical Feature Extraction

Yuan Zhang,1,2 Yong Qin,2 Zongyi Xing,3 Limin Jia,2 and Xiaoqing Cheng2

1School of Traffic and Transportation, Beijing Jiaotong University, Beijing, China
2State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing, China
3Department of Automation, Nanjing University of Science and Technology, Nanjing, Jiangsu, China

Received 16 October 2012; Revised 3 January 2013; Accepted 14 March 2013

Copyright © 2013 Hindawi Publishing Corporation. 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.

Citations to this Article [4 citations]

The following is the list of published articles that have cited the current article.

  • Yanping Du, Yuan Zhang, Xiaogang Zhao, and Xiaohui Wang, “Risk Evaluation of Bogie System Based on Extension Theory and Entropy Weight Method,” Computational Intelligence And Neuroscience, 2014. View at Publisher · View at Google Scholar
  • Jing Zhou, Yong Qin, Linlin Kou, Mitchell Yuwono, and Steven Su, “Fault detection of rolling bearing based on FFT and,” Journal of Advanced Mechanical Design, Systems and Manufacturing, vol. 9, no. 5, 2015. View at Publisher · View at Google Scholar
  • Limin Jia, Jie Yang, Yuan Zhang, Yunxiao Fu, and Yong Qin, “Roller element bearing fault identification method based on product function correntropy,” Yingyong Jichu yu Gongcheng Kexue Xuebao/Journal of Basic Science and Engineering, vol. 24, no. 2, pp. 333–343, 2016. View at Publisher · View at Google Scholar
  • Yanfang Yang, Yong Qin, Limin Jia, and Honghui Dong, “Traffic Safety Region Estimation Based on SFS–PCA–LSSVM: An Application to Highway Crash Risk Evaluation,” International Journal of Software Engineering and Knowledge Engineering, vol. 26, no. 09n10, pp. 1555–1570, 2016. View at Publisher · View at Google Scholar