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Mathematical Problems in Engineering
Volume 2014, Article ID 293878, 8 pages
http://dx.doi.org/10.1155/2014/293878
Research Article

A Fault Diagnosis Method for Rotating Machinery Based on PCA and Morlet Kernel SVM

1School of Mechatronics and Automotive Engineering, Chongqing Jiaotong University, Chongqing 400074, China
2School of Automation, Chongqing University, Chongqing 400044, China
3The State Key Laboratory of Mechanical Transmission, Chongqing University, Chongqing 400030, China
4Chongqing Academy of Metrology and Quality Inspection, Chongqing 401121, China
5School of Mechanical and Electronic Engineering, Zhongyuan University of Technology, Zhengzhou 450007, China
6Mechanical and Electrical Engineering Department, Chongqing Vocational Institute of Safety & Technology, Wanzhou, Chongqing 404020, China

Received 23 April 2014; Revised 8 June 2014; Accepted 15 June 2014; Published 8 July 2014

Academic Editor: Ruqiang Yan

Copyright © 2014 Shaojiang Dong 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

Shaojiang Dong, Dihua Sun, Baoping Tang, Zhenyuan Gao, Wentao Yu, and Ming Xia, “A Fault Diagnosis Method for Rotating Machinery Based on PCA and Morlet Kernel SVM,” Mathematical Problems in Engineering, vol. 2014, Article ID 293878, 8 pages, 2014. https://doi.org/10.1155/2014/293878.