Intelligent Identification of Boiling Water Reactor State Utilizing Relevance Vector Regression Models
暂无分享,去创建一个
[1] Michael E. Tipping. Sparse Bayesian Learning and the Relevance Vector Machine , 2001, J. Mach. Learn. Res..
[2] David Galbally,et al. A pattern recognition approach based on DTW for automatic transient identification in nuclear power plants , 2015 .
[3] Miltiadis Alamaniotis,et al. Real-time state identification of boiling water reactors using relevance vector machines , 2016 .
[4] A. Ikonomopoulos,et al. Wavelet decomposition and radial basis function networks for system monitoring , 1998 .
[5] Waclaw Gudowski,et al. Feasibility Study on Transient Identification in Nuclear Power Plants Using Support Vector Machines , 2006 .
[6] J. G. Williams,et al. Wavelet transform of reactor power transients , 1994, Proceedings of 1994 IEEE Nuclear Science Symposium - NSS'94.
[7] Mark J. Embrechts,et al. Hybrid identification of nuclear power plant transients with artificial neural networks , 2004, IEEE Transactions on Industrial Electronics.
[8] Roberto Schirru,et al. A neural model for transient identification in dynamic processes with “don't know” response , 2003 .
[9] Roberto Schirru,et al. QDPSO and Minkowski Distance Applied to Transient Diagnosis System , 2014, ICAART.
[10] Celso Marcelo Franklin Lapa,et al. Neural and genetic-based approaches to nuclear transient identification including 'don't know' response , 2006 .
[11] Hung-Jen Chang,et al. Identification of pressurized water reactor transient using template matching , 2011 .
[12] Rolf Isermann,et al. Process fault detection based on modeling and estimation methods - A survey , 1984, Autom..
[13] A. Ray,et al. Anomaly Detection in Nuclear Power Plants via Symbolic Dynamic Filtering , 2011, IEEE Transactions on Nuclear Science.
[14] Jaques Reifman,et al. An Innovative Fuzzy-Logic-Based Methodology for Trend Identification , 2001 .
[15] Nikolaos G. Bourbakis,et al. Genetic Optimal Regression of Relevance Vector Machines for Electricity Pricing Signal Forecasting in Smart Grids , 2015, IEEE Transactions on Smart Grid.
[16] Miltiadis Alamaniotis,et al. Probabilistic Kernel Approach to Online Monitoring of Nuclear Power Plants , 2012 .
[17] Yi Hao,et al. Linear Representation and Sparse Solution for Transient Identification in Nuclear Power Plants , 2013 .
[18] Davide Roverso,et al. Plant diagnostics by transient classification: The ALADDIN approach , 2002, Int. J. Intell. Syst..
[19] Biao Yang,et al. Robust Relevance Vector Regression With Trimmed Likelihood Function , 2007, IEEE Signal Processing Letters.
[20] Davide Roverso. Soft computing tools for transient classification , 2000, Inf. Sci..
[21] Khalil Moshkbar-Bakhshayesh,et al. Transient identification in nuclear power plants: A review , 2013 .
[22] J. W. Hines,et al. Application of Fuzzy Weighted Support Vector Regression to Accidents Condition Monitoring of Nuclear Power Plant , 2016 .
[23] M. Antonopoulos-Domis,et al. System identification during a transient via wavelet multiresolution analysis followed by spectral techniques , 1998 .
[24] Lefteri H. Tsoukalas,et al. A hybrid neural network---fuzzy logic approach to nuclear power plant transient identification , 1991 .
[25] Miltiadis Alamaniotis,et al. Optimal Assembly of Support Vector Regressors with Application to System Monitoring , 2012, Int. J. Artif. Intell. Tools.
[26] Hatice Akkurt,et al. PWR system simulation and parameter estimation with neural networks , 2002 .
[27] Nasser M. Nasrabadi,et al. Pattern Recognition and Machine Learning , 2006, Technometrics.
[28] Jaques Reifman,et al. Survey of Artificial Intelligence Methods for Detection and Identification of Component Faults in Nuclear Power Plants , 1997 .
[29] Roberto Schirru,et al. Identification of nuclear power plant transients using the Particle Swarm Optimization algorithm , 2008 .
[30] Gopika Vinod,et al. Simulation of Pressurised Heavy Water Reactor Data Using Artificial Neural Network for Reactor Status / Transient Identification , 2002 .
[31] Kazuhiko Kudo,et al. On-line neuro-expert monitoring system for Borssele Nuclear Power Plant , 2003 .
[32] Chaung Lin,et al. Identification of initiating events for pressurized water reactor accidents , 2010 .
[33] Celso Marcelo Franklin Lapa,et al. An efficient Neuro-Fuzzy approach to nuclear power plant transient identification , 2011 .
[34] Miltiadis Alamaniotis,et al. Gaussian Processes for State Identification in Pressurized Water Reactors , 2013 .
[35] Kee-Choon Kwon,et al. Accident identification in nuclear power plants using hidden Markov models , 1999 .
[36] H. Seetha,et al. Fuzzy logic based transient identification system for operator guidance using prototype fast breeder reactor operator training simulator , 2014, 2014 IEEE International Advance Computing Conference (IACC).
[37] Lefteri H. Tsoukalas,et al. Fuzzy and neural approaches in engineering , 1997 .
[38] Celso Marcelo Franklin Lapa,et al. Nuclear transient phase ranking table using fuzzy inference system , 2004 .
[39] Soon Heung Chang,et al. Application of neural networks to a connectionist expert system for transient identification in nuclear power plants , 1993 .
[40] Lefteri H. Tsoukalas,et al. Integration of Neural Networks with Fuzzy Reasoning for Measuring Operational Parameters in a Nuclear Reactor , 1993 .
[41] Roberto Schirru,et al. Quantum evolutionary algorithm applied to transient identification of a nuclear power plant , 2011 .