A hybrid neural network---fuzzy logic approach to nuclear power plant transient identification

Conference · Tue Jan 01 04:00:00 EST 1991

OSTI ID:6682378

Ikonomopoulos, A; Tsoukalas, L H ^[1]; Uhrig, R E ^[2]

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1. Tennessee Univ., Knoxville, TN (United States). Dept. of Nuclear Engineering
2. Tennessee Univ., Knoxville, TN (United States). Dept. of Nuclear Engineering Oak Ridge National Lab., TN (United States)

A methodology is presented that couples pretrained artificial neural networks (ANNs) to rule-based fuzzy logic systems, for the purpose of distinguishing different transients in a Nuclear Power Plant (NPP). A model referenced approach is utilized in order to provide timely concise and task specific information about the status of the system under consideration. A rule based system integrated with a set of neural networks, that typify steady-state operation as well as different transients, diagnoses the state of the system and identifies the type of transient under development. ANNs produce their response in the form of membership functions which independently represent individual transients and the steady-state. Membership functions condense functionally relevant information in order for the overall system to successfully perform transient identification, in a time span faster or at least comparable to that of the transient development. To demonstrate the proposed methodology simulated accidents corresponding to a particular category of transients are used. The results obtained demonstrate the excellent noise tolerance of the ANNs and suggest a new approach for transient identification within the framework of fuzzy logic.

• Research Organization: Tennessee Univ., Knoxville, TN (United States). Dept. of Nuclear Engineering; Oak Ridge National Lab., TN (United States)
• Sponsoring Organization: DOE; USDOE, Washington, DC (United States)
• DOE Contract Number: FG07-88ER12824; AC05-84OR21400
• OSTI ID: 6682378
• Report Number(s): CONF-9109110-13; ON: DE93003558
• Country of Publication: United States
• Language: English

Related Subjects

22 GENERAL STUDIES OF NUCLEAR REACTORS
220400* -- Nuclear Reactor Technology-- Control Systems
220900 -- Nuclear Reactor Technology-- Reactor Safety
99 GENERAL AND MISCELLANEOUS
990200 -- Mathematics & Computers
COMPUTERIZED SIMULATION
DECISION MAKING
FUZZY LOGIC
MATHEMATICAL LOGIC
NEURAL NETWORKS
NUCLEAR FACILITIES
NUCLEAR POWER PLANTS
POWER PLANTS
REACTOR MONITORING SYSTEMS
SIGNAL CONDITIONING
SIGNALS
SIMULATION
THERMAL POWER PLANTS
TRANSIENTS