Fault diagnosis of rotating machine by thermography method on support vector machine

Author:

Lim Gang-Min,Bae Dong-Myung,Kim Joo-Hyung

Publisher

Springer Science and Business Media LLC

Subject

Mechanical Engineering,Mechanics of Materials

Reference18 articles.

1. Y. Lei, Z. He and Y. Zi, Application of an intelligent classification method to mechanical fault diagnosis, Expert System with Application, 36 (2009) 9941.

2. J. H Williams, A. Davies and P. R. Drake, Condition-based Maintenance and Machine Diagnostics, Chapman & Hall, London (1994).

3. A. Barber, Handbook of noise and vibration control, 6th Ed., Elsevier Advanced Technology Publications, UK (1992).

4. B. S. Yang, D. S. Lim and J. L. An, Vibration diagnostic system of rotating machinery using artificial neural network and wavelet transform, Proc. 13 th International Congress on COMADEM, Houston, USA (2000) 12–20.

5. A. K. S. Jardine, D. Lin and D. Banjevic, A review on machinery diagnostics and prognostics implementing conditionbased maintenance, Mechanical Systems and Signal Processing, 20 (2006) 1483.

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