@article{ref1,
title="Neuro-fuzzy Based Condition Prediction of Bearing Health",
journal="Journal of Vibration and Control",
year="2009",
author="Xinglin Li,  and Lei Guo,  and Jin Chen,  and Fagang Zhao, ",
volume="15",
number="7",
pages="1079-1091",
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.<p />",
language="",
issn="1077-5463",
doi="10.1177/1077546309102665",
url="http://dx.doi.org/10.1177/1077546309102665"
}