Development of a Robust Identifier for NPPs Transients Combining ARIMA Model and EBP Algorithm

This study introduces a novel identification method for recognition of nuclear power plants (NPPs) transients by combining the autoregressive integrated moving-average (ARIMA) model and the neural network with error backpropagation (EBP) learning algorithm. The proposed method consists of three step...

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Veröffentlicht in:	IEEE transactions on nuclear science 2014-08, Vol.61 (4), p.2383-2391
Hauptverfasser:	Moshkbar-Bakhshayesh, Khalil, Ghofrani, Mohammad B.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Auto regressive integrated moving-average (ARIMA) Bushehr nuclear power plant (BNPP) Data models error back propagation (EBP) Hidden Markov models Learning Mathematical models Neural networks Nuclear power generation Nuclear power plants Power generation Power plants Robustness Statistical analysis Time series Time series analysis Training Transient analysis transient identification
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