Neuro-fuzzy Based Condition Prediction of Bearing Health
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 res...
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| Veröffentlicht in: | Journal of vibration and control 2009-07, Vol.15 (7), p.1079-1091 |
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| container_title | Journal of vibration and control |
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| creator | Zhao, Fagang Chen, Jin Guo, Lei Li, Xinglin |
| description | 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. |
| doi_str_mv | 10.1177/1077546309102665 |
| format | Article |
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| ispartof | Journal of vibration and control, 2009-07, Vol.15 (7), p.1079-1091 |
| issn | 1077-5463 1741-2986 |
| language | eng |
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| source | SAGE Complete |
| subjects | Bearings Fuzzy logic Industrial equipment Simulation Vibration |
| title | Neuro-fuzzy Based Condition Prediction of Bearing Health |
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