Computational intelligence methods for rolling bearing fault detection

Author:

Katsifarakis NikosORCID,Riga Marina,Voukantsis Dimitris,Karatzas Kostas

Publisher

Springer Science and Business Media LLC

Subject

Mechanical Engineering,General Engineering,Aerospace Engineering,Automotive Engineering,Industrial and Manufacturing Engineering,Applied Mathematics

Reference58 articles.

1. Abbasion S, Rafsanjani A, Farshidianfar A, Irani N (2007) Mech Syst Signal Process 21:2933–2945

2. Thomas P (1998) Fault detection and diagnosis in engineering systems: In: Gertler JJ (ed) vol 10(9). Marcel Dekker Inc., New York, ISBN 0-8247-9427-3, September 2002, pp 1037–1038

3. Purushotham V, Narayanan S, Prasad SAN (2005) Multi-fault diagnosis of rolling bearing elements using wavelet analysis and hidden Markov model based fault recognition, NDT&E International, pp 1–11

4. Bently D (1989) Bently Nevada Co., Predictive maintenance through the monitoring and diagnostics of rolling element bearings, Applications Note ANO44, pp 2–8. http://www.ge-mcs.com/pt/online-learning-center/predictive-maintenance-through-the-monitoring-and-diagnostics-of-rolling-element-bearings.html

5. Wang WJ, McFadden PD (1996) Application of wavelets to gearbox vibration signals for fault detection. J Sound Vib 192:927–939

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