Resumo

OTERO QUIJANO, Fredy Julián; PARDO GONZALEZ, John Jairo  e  QUIROGA MENDEZ, Jabid E. Vibration Based Fuzzy Classifier for Bearing Monitoring. rev.ing. [online]. 2011, n.35, pp.20-26. ISSN 0121-4993.

This paper presents a vibration based fuzzy classifier used to detect fault conditions in bearings. The fuzzy knowledge foundation is obtained from the behavior of the vibration signal in presence of a fault condition in outer race, inner race, cage and rolling element. The fuzzy system is implemented in Matlab^® and it is validated in a vibration dedicate test bench used for research proposes. The system performance exhibits reliability and robustness in the fault detection in each experimental fault scenario

Palavras-chave : Fuzzy classifier; bearings monitoring; bearings fault detection; predictive maintenance.

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