Feature extraction for rolling element bearing fault diagnosis utilizing generalized S transform and two-dimensional non-negative matrix factorization-Reference-Cited by-同舟云学术

Feature extraction for rolling element bearing fault diagnosis utilizing generalized S transform and two-dimensional non-negative matrix factorization

Published:2011-05 Issue:10 Volume:330 Page:2388-2399
ISSN:0022-460X
Container-title:Journal of Sound and Vibration
language:en
Short-container-title:Journal of Sound and Vibration

Author:

Li Bing,Zhang Pei-lin,Liu Dong-sheng,Mi Shuang-shan,Ren Guo-quan,Tian Hao

Publisher

Elsevier BV

Subject

Mechanical Engineering,Mechanics of Materials,Acoustics and Ultrasonics,Condensed Matter Physics

Reference41 articles.

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2. Fault diagnosis of rotating machinery based on multiple ANFIS combination with GAs;Lei;Mechanical Systems and Signal Processing,2007

3. Automatic rule learning using decision tree for fuzzy classifier in fault diagnosis of roller bearing;Sugumaran;Mechanical Systems and Signal Processing,2007

4. Application of particle swarm optimization and proximal support vector machines for fault detection;Samanta;Swarm Intelligence,2009

5. Fault classifier of rotating machinery based on weighted support vector data description;Zhang;Expert Systems with Applications,2009

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