Proceedings of the Korean Institute of Intelligent Systems Conference (한국지능시스템학회:학술대회논문집)
- 2003.05a
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- Pages.129-133
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- 2003
On-line Training of Neural Network for Monitoring Plant Transients
- Varde, P.V. (Bhabha Atomic Energy Research Institute) ;
- Moon, B.S. (Bhabha Atomic Energy Research Institute) ;
- Han, J.B. (Bhabha Atomic Energy Research Institute)
- Published : 2003.05.01
Abstract
The work described in this paper deals with the proposed application of an Artificial Neural Network Model for the Advanced Pressurized Water Reactor APR-1400 transient identification. The approach adopted for testing the network take note of the expectation which should be fulfilled by a network for real-time application, like testing with data in on-line mode and use of actual or real-life patterns for training. The recall test performed demonstrates that use of neural network for transient identification is indeed an attractive preposition.
Keywords
- Artificial Neural Network;
- Next Generation Nuclear Plants;
- Plant Status Monitoring;
- Reactor Operations;
- Transient Simulation