Neuro-fuzzy Based Condition Prediction of Bearing Health
- 20 March 2009
- journal article
- research article
- Published by SAGE Publications in Journal of Vibration and Control
- Vol. 15 (7), 1079-1091
- https://doi.org/10.1177/1077546309102665
Abstract
A reliable prognostic model is very useful for industries to forecast equipment behaviors. The aim of this research is to verify the effectiveness of the neuro-fuzzy model in predicting the health condition of bearings. Simulation and an experiment have been carried out to verify the model, with results showing that the neuro-fuzzy model is a reliable and robust forecasting tool, and more accurate than a radial basis function network. In the experiment, vibration data collected from the equipment is used to predict the future condition.Keywords
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