Online sequential condition prediction method of natural circulation systems based on EOS-ELM and phase space reconstruction
暂无分享,去创建一个
Jiguo Tang | Sichao Tan | Puzhen Gao | Hanying Chen | Hongsheng Yuan | Sichao Tan | P. Gao | Hongsheng Yuan | Jiguo Tang | Hanying Chen
[1] Kenji Fukuda,et al. Analysis of the critical heat flux in round vertical tubes under low pressure and flow oscillation conditions. Applications of artificial neural network , 2003 .
[2] Emine Ayaz. Component-wide and plant-wide monitoring by neural networks for Borssele nuclear power plant , 2008 .
[3] T. L. Schulz,et al. Westinghouse AP1000 advanced passive plant , 2006 .
[4] Manmohan Pandey,et al. Stability analysis and nonlinear dynamics of natural circulation boiling water reactors , 2008 .
[5] S. Jiang,et al. Experimental simulation study on start-up of the 5 MW nuclear heating reactor , 1995 .
[6] Narasimhan Sundararajan,et al. A Fast and Accurate Online Sequential Learning Algorithm for Feedforward Networks , 2006, IEEE Transactions on Neural Networks.
[7] K. Nabeshima,et al. Nuclear reactor monitoring with the combination of neural network and expert system , 2002, Math. Comput. Simul..
[8] Manmohan Pandey,et al. Parametric effects on reactivity instabilities and nonlinear oscillations in a nuclear-coupled double channel natural circulation boiling system , 2010 .
[9] Guanghui Su,et al. Experimental study on two-phase flow instability of natural circulation under rolling motion condition , 2009 .
[10] S. Y. Jiang,et al. Experimental Study of Two-Phase Flow Oscillation in Natural Circulation , 2000 .
[11] A. Massi Pavan,et al. On-line fault detection of a fuel rod temperature measurement sensor in a nuclear reactor core using ANNs , 2015 .
[12] Guang-Bin Huang,et al. Extreme learning machine: a new learning scheme of feedforward neural networks , 2004, 2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541).
[13] Fei Xie,et al. Prediction of time series of NPP operating parameters using dynamic model based on BP neural network , 2015 .
[14] Sichao Tan,et al. Non-linear time series analysis on flow instability of natural circulation under rolling motion condition , 2014 .
[15] R. Penrose. A Generalized inverse for matrices , 1955 .
[17] James P. Crutchfield,et al. Geometry from a Time Series , 1980 .
[18] Enrico Zio,et al. Nuclear Power Plant Components Condition Monitoring by Probabilistic Support Vector Machine , 2013 .
[19] Ji Xing,et al. HPR1000: Advanced Pressurized Water Reactor with Active and Passive Safety , 2016 .
[20] Narasimhan Sundararajan,et al. Fully complex extreme learning machine , 2005, Neurocomputing.
[21] Zhong-ning Sun,et al. An investigation on flashing instability induced water hammer in an open natural circulation system , 2016 .
[22] Narasimhan Sundararajan,et al. On-Line Sequential Extreme Learning Machine , 2005, Computational Intelligence.
[23] Chung-Yun Wu,et al. Chaotic oscillations in a low pressure two-phase natural circulation loop under low power and high inlet subcooling conditions , 1996 .
[24] Jin Jiang,et al. Applications of fault detection and diagnosis methods in nuclear power plants: A review , 2011 .
[25] Emine Ayaz,et al. Comparisons between the various types of neural networks with the data of wide range operational conditions of the Borssele NPP , 2003 .
[26] Yuan Lan,et al. Ensemble of online sequential extreme learning machine , 2009, Neurocomputing.
[27] Chee Kheong Siew,et al. Extreme learning machine: Theory and applications , 2006, Neurocomputing.