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Shock and Vibration
Volume 2016, Article ID 3975285, 13 pages
http://dx.doi.org/10.1155/2016/3975285
Research Article

Feature Extraction and Selection Scheme for Intelligent Engine Fault Diagnosis Based on 2DNMF, Mutual Information, and NSGA-II

Forth Department, Mechanical Engineering College, No. 97, Heping West Road, Shijiazhuang, Hebei 050003, China

Received 24 December 2015; Revised 20 March 2016; Accepted 27 March 2016

Academic Editor: Arturo Garcia-Perez

Copyright © 2016 Peng-yuan Liu 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

Peng-yuan Liu, Bing Li, Cui-e Han, and Feng Wang, “Feature Extraction and Selection Scheme for Intelligent Engine Fault Diagnosis Based on 2DNMF, Mutual Information, and NSGA-II,” Shock and Vibration, vol. 2016, Article ID 3975285, 13 pages, 2016. https://doi.org/10.1155/2016/3975285.