Fault prediction of boilers with fuzzy mathematics and RBF neural network

@article{Guoxin2005FaultPO,
  title={Fault prediction of boilers with fuzzy mathematics and RBF neural network},
  author={X.U.E. Guoxin and X.I.A.O. LiChuan and B.I.E. Meihua and L. U. Siwei},
  journal={Proceedings. 2005 International Conference on Communications, Circuits and Systems, 2005.},
  year={2005},
  volume={2},
  pages={-1016}
}
How to predict potential faults of a boiler in an efficient and scientific way is very important. A lot of comprehensive research has been done, and promising results have been obtained, especially regarding the application of intelligent software. Still there are a lot of problems to be studied. It combines fuzzy mathematics with. RBF neural network in an intuition and natural way. Thus a new method is proposed for the prediction of the potential faults of a coal-fired boiler. The new method… CONTINUE READING
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