Table of Contents Author Guidelines Submit a Manuscript
Mathematical Problems in Engineering
Volume 2015, Article ID 873905, 11 pages
http://dx.doi.org/10.1155/2015/873905
Research Article

Manifold Learning with Self-Organizing Mapping for Feature Extraction of Nonlinear Faults in Rotating Machinery

1School of Mechanical Engineering, Xi’an Jiaotong University, Xi’an 710049, China
2Key Laboratory of Education Ministry for Modern Design and Rotor-Bearing System, Xi’an Jiaotong University, Xi’an 710049, China
3Engineering Workshop, Xi’an Jiaotong University, Xi’an 710049, China
4State Key Laboratory for Manufacturing Systems Engineering, Xi’an Jiaotong University, Xi’an 710049, China

Received 19 September 2014; Revised 27 December 2014; Accepted 4 January 2015

Academic Editor: Saeed Balochian

Copyright © 2015 Lin Liang 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

Lin Liang, Fei Liu, Maolin Li, and Guanghua Xu, “Manifold Learning with Self-Organizing Mapping for Feature Extraction of Nonlinear Faults in Rotating Machinery,” Mathematical Problems in Engineering, vol. 2015, Article ID 873905, 11 pages, 2015. https://doi.org/10.1155/2015/873905.