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- W2366873170 abstract "Aiming at the problems of the faults of NPP's control rod drive mechanism,a fault information fusion method is proposed by using rough set neural network in making decisions based on the Internet of Things. The perception layer,network layer and supporting layer were constructed by involning the MEMS sensor,Zig Bee module and Multi-Agent module,and also 6 kinds of input features were selected to represent scope of control rods displacement,reducing attributes as neural network Agent prior input module,module contracted rules as judgment criterion of hidden layers,concise rules of rough set Agent as judgment criteria of hidden layer,respectively. Simulation results verified the feasibility of Io T CRDM rod position monitoring system and the accuracy of rough set neural network fusion algorithm." @default.
- W2366873170 created "2016-06-24" @default.
- W2366873170 creator A5031366391 @default.
- W2366873170 date "2015-01-01" @default.
- W2366873170 modified "2023-09-26" @default.
- W2366873170 title "Research of PWR CRDM fault information fusion method based on Io T" @default.
- W2366873170 hasPublicationYear "2015" @default.
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