A multidimensional hybrid intelligent method for gear fault diagnosis

Author:

Lei Yaguo,Zuo Ming J.,He Zhengjia,Zi Yanyang

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference36 articles.

1. A comparative study of three artificial neural networks for the detection and classification of gear faults;Abumahfouz;International Journal of General Systems,2005

2. Using diversity of errors for selecting members of a committee classifier;Aksela;Pattern Recognition,2006

3. The combination of multiple classifiers using an evidential reasoning approach;Bi;Artificial Intelligence,2008

4. Decker, H. J. (2003). Effects on diagnostic parameters after removing additional synchronous gear meshes. Technical Report NASA TM-2003-212312, ARL-TR-2933, NASA and the US Army Research Laboratory, April 2003.

5. Decker, H. J., & Lewicki D.G. (2003). Spiral bevel pinion crack detection in a helicopter gearbox. In Proceedings of the american helicopter society 59th annual forum, Phoenix, AZ (pp. 1222–1232).

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