TY  - JOUR
PY  - 2009//
TI  - Neuro-fuzzy Based Condition Prediction of Bearing Health
JO  - Journal of Vibration and Control
A1  - Xinglin Li, 
A1  - Lei Guo, 
A1  - Jin Chen, 
A1  - Fagang Zhao, 
SP  - 1079
EP  - 1091
VL  - 15
IS  - 7
N2  - 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.<p />
LA  - 
SN  - 1077-5463
UR  - http://dx.doi.org/10.1177/1077546309102665
ID  - ref1
ER  -