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On-line model-based system for nuclear plant monitoring
L. Tsoukalas
, G. W. Lee
,
M. Ragheb
, T. McDonough
, F. Niziolek
, M. Parker
Nuclear, Plasma and Radiological Engineering
Research output
:
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›
peer-review
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Keyphrases
Illinois
100%
Performance Level
100%
Nuclear Plant
100%
Online Model
100%
Plant Monitoring
100%
Testing Mode
100%
Nuclear Safety
100%
Stochastic Model
50%
Working Memory
50%
Probability Density Function
50%
Reactor
50%
Measure Data
50%
Physical Systems
50%
System Parameters
50%
Abnormal Conditions
50%
Numerical Model
50%
Function-based
50%
Knowledge Base
50%
Observational Data
50%
Probability Theory
50%
Pressure Signal
50%
Nuclear Power Plant
50%
Sensor Data
50%
Symbolic Models
50%
Core Cooling
50%
Uncertain Data
50%
Information Representation
50%
Line Mode
50%
Uncertainty Type
50%
Fuzzy Set Theory
50%
Reactor Pressure
50%
Membership Function
50%
Granularity Level
50%
Emergency Operation
50%
Emergency Preparedness
50%
Mathematical Methodology
50%
Reactor Coolant
50%
Information Granularity
50%
Random Uncertainty
50%
Online Mode
50%
Reactor Temperature
50%
Basis Operators
50%
Fuzzy Uncertainty
50%
Cold Shutdown
50%
Shutdown Conditions
50%
Outdated Information
50%
Special Rules
50%
Engineering
Nuclear Power Plant
100%
Nuclear Safety
100%
Illustrates
50%
Stochastic Model
50%
Measurement Data
50%
System Parameter
50%
Numerical Model
50%
Physical System
50%
Level Signal
50%
Sensor Data
50%
Knowledge Base
50%
Core Cooling
50%
Granularity
50%
Main Purpose
50%
Operating Procedure
50%
Pressure Signal
50%
Membership Function
50%
Probability Density Function
50%
Chemical Engineering
Fuzzy Set
100%
Reactor Pressure
100%