Condition prediction of flue gas turbine based on Echo State Network
作者： Xiao-li Xu , Tao Chen , Shao-hong Wang
DOI: 10.1109/ICNC.2010.5583012
关键词: Control theory 、 Time series 、 Vibration 、 Turbine 、 Flue gas 、 Echo state network 、 Artificial neural network 、 Recurrent neural network 、 Computer science 、 Condition monitoring 、 Recurrent neural nets
摘要: Echo State Network is one pioneering recurrent neural network with the core structure of a randomly generated and unchangeable reservoir. This paper provides Condition prediction model flue gas turbine by applying makes overall vibration value. Compared to Elman model, examples show that has wonderful dynamic characteristics smaller error less time. The good performance in non-linear time series prediction, indicating feasible condition turbine.
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