Use of fuzzy logic in signal processing and validation

Conference · Fri Jan 01 04:00:00 EST 1993 · Transactions of the American Nuclear Society; (United States)

OSTI ID:5799203

Heger, A S; Alang-Rashid, N K ^[1]; Holbert, K E ^[2]

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1. Univ. of New Mexico, Albuquerque (United States)
2. Arizona State Univ., Tempe (United States)

The advent of fuzzy logic technology has afforded another opportunity to reexamine the signal processing and validation process (SPV). The features offered by fuzzy logic can lend themselves to a more reliable and perhaps fault-tolerant approach to SPV. This is particularly attractive to complex system operations, where optimal control for safe operation depends on reliable input data. The reason for the use of fuzzy logic as the tool for SPV is its ability to transform information from the linguistic domain to a mathematical domain for processing and then transformation of its result back into the linguistic domain for presentation. To ensure the safe and optimal operation of a nuclear plant, for example, reliable and valid data must be available to the human and computer operators. Based on these input data, the operators determine the current state of the power plant and project corrective actions for future states. This determination is based on available data and the conceptual and mathematical models for the plant. A fault-tolerant SPV based on fuzzy logic can help the operators meet the objective of effective, efficient, and safe operation of the nuclear power plant. The ultimate product of this project will be a code that will assist plant operators in making informed decisions under uncertain conditions when conflicting signals may be present.

• OSTI ID: 5799203
• Report Number(s): CONF-930601--
• Conference Information: Journal Name: Transactions of the American Nuclear Society; (United States) Journal Volume: 68
• 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
ANIMALS
CONTROL
EXPERT SYSTEMS
FUZZY LOGIC
HUMAN FACTORS
INFORMATION VALIDATION
MAMMALS
MAN
MAN-MACHINE SYSTEMS
MATHEMATICAL LOGIC
MATHEMATICAL MODELS
OPERATION
OPTIMAL CONTROL
PERSONNEL
PRIMATES
PROCESSING
REACTOR OPERATION
REACTOR OPERATORS
REACTOR SAFETY
SAFETY
SIGNALS
TESTING
VALIDATION
VERTEBRATES