Identification of NPP transients using artificial intelligence - 335
Conference
·
OSTI ID:23035430
- Department of Nuclear Engineering, Chosun University, 309 Pilmun-daero, Dong-gu, Gwangju 61452 (Korea, Republic of)
If the accidents happen in nuclear power plants (NPPs), the NPP operators identify the transients through observing the behaviors of the major parameters. However, the integrity of the instrumentation signals is not ensured under the accident circumstances and the major parameters essential in identifying the transients can rapidly change although the instruments generate accurate signals. Thus, to successfully control the accidents by taking necessary measures relatively faster, it is very important to provide the operators with the information that can identify the transients and accidents accurately. In this study, the transients of severe accidents in NPPs are identified and classified using artificial intelligence methodologies. Several transients are identified using support vector classification (SVC) and probabilistic neural network (PNN) as artificial intelligence methodologies. The used data for the transients are the simulation data using the modular accident analysis program (MAAP) code for the optimized power reactors (OPR1000s). The time-integrated values of chosen simulated sensor signals are used as the input variables for identifying the transients. As a result of this study, the proposed models identified the transients quite precisely. Therefore, the quite accurate identification of the transients indicates the excellence of these artificial intelligence methods and they will produce useful supporting information for the operators even under extreme transient circumstances in NPPs. (authors)
- Research Organization:
- American Nuclear Society - ANS, 555 North Kensington Avenue, La Grange Park, IL 60526 (United States)
- OSTI ID:
- 23035430
- Country of Publication:
- United States
- Language:
- English
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Related Subjects
21 SPECIFIC NUCLEAR REACTORS AND ASSOCIATED PLANTS
46 INSTRUMENTATION RELATED TO NUCLEAR SCIENCE AND TECHNOLOGY
ARTIFICIAL INTELLIGENCE
CLASSIFICATION
COMPUTERIZED SIMULATION
NEURAL NETWORKS
NUCLEAR POWER PLANTS
POWER REACTORS
PROBABILISTIC ESTIMATION
SENSORS
SEVERE ACCIDENTS
SIGNALS
TRANSIENTS
VECTORS
46 INSTRUMENTATION RELATED TO NUCLEAR SCIENCE AND TECHNOLOGY
ARTIFICIAL INTELLIGENCE
CLASSIFICATION
COMPUTERIZED SIMULATION
NEURAL NETWORKS
NUCLEAR POWER PLANTS
POWER REACTORS
PROBABILISTIC ESTIMATION
SENSORS
SEVERE ACCIDENTS
SIGNALS
TRANSIENTS
VECTORS