Hybrid expert system - neural network - Fuzzy Logic methodology for transient identification
- Tennessee Univ., Knoxville, TN (United States). Dept. of Nuclear Engineering
- Tennessee Univ., Knoxville, TN (United States). Dept. of Nuclear Engineering Oak Ridge National Lab., TN (United States)
A methodology is presented that demonstrates the potential of pretrained artificial neural networks (ANN's) as generators of membership functions for the purpose of transient identification in Nuclear Power Plants (NPP). In order to provide timely concise and task-specific information about the many aspects of the transient and to determine the state of the system based on the interpretation of potentially noisy data, a model-referenced approach is utilized, where pretrained ANNs provide the model. Membership functions -- that condense information about a transient in a form convenient for a rule-based identification system -- are produced through ANN'S. The results demonstrate the extremely good noise-tolerance of ANN's and suggest a new method for transient identification within the framework of Fuzzy Logic.
- Research Organization:
- Tennessee Univ., Knoxville, TN (United States). Dept. of Nuclear Engineering
- Sponsoring Organization:
- USDOE; USDOE, Washington, DC (United States)
- DOE Contract Number:
- FG07-88ER12824
- OSTI ID:
- 6862312
- Report Number(s):
- CONF-9109447-2; ON: DE93003567
- Resource Relation:
- Conference: 2. government neural network applications workshop, Huntsville, AL (United States), 10-12 Sep 1991
- Country of Publication:
- United States
- Language:
- English
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A hybrid neural network---fuzzy logic approach to nuclear power plant transient identification
A hybrid neural network---fuzzy logic approach to nuclear power plant transient identification
Related Subjects
99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE
NUCLEAR POWER PLANTS
NEURAL NETWORKS
EXPERT SYSTEMS
FUZZY LOGIC
REACTOR ACCIDENTS
TRANSIENTS
ACCIDENTS
MATHEMATICAL LOGIC
NUCLEAR FACILITIES
POWER PLANTS
THERMAL POWER PLANTS
220900* - Nuclear Reactor Technology- Reactor Safety
990200 - Mathematics & Computers