Application of multivariate signal analysis algorithms to reactor diagnostics
Multivariate analysis of power reactor operating signals is useful for plant diagnostics, for isolating sensor anomaly, and for routine process monitoring. The techniques for such applications must be able to distinguish between the apparent behavior among the process signals and their physically realistic behavior. In order to develop a reliable procedure, the authors improved upon the previously established techniques for empirical modeling of fluctuation signals in power reactors. Application of the complete algorithm to operational data from the loss-of-fluid test (LOFT) reactor showed that earlier conjectures (based on physical modeling) regarding the perturbation sources in a pressurized water reactor (PWR) affecting coolant temperature and neutron power fluctuations can be systematically explained. This advanced methodology has important implications regarding plant diagnostics, and system and sensor anomaly isolation.
- Research Organization:
- Univ. of Tennessee, Knoxville
- OSTI ID:
- 5747671
- Report Number(s):
- CONF-870601-
- Journal Information:
- Trans. Am. Nucl. Soc.; (United States), Vol. 54; Conference: Annual meeting of the American Nuclear Society, Dallas, TX, USA, 7 Jun 1987
- Country of Publication:
- United States
- Language:
- English
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Related Subjects
LOFT REACTOR
REACTOR KINETICS
PWR TYPE REACTORS
ALGORITHMS
TRANSIENTS
ERRORS
HEAT TRANSFER
HYDRAULICS
NEUTRON FLUX
PRIMARY COOLANT CIRCUITS
REACTOR MONITORING SYSTEMS
REACTOR OPERATION
COOLING SYSTEMS
ENERGY SYSTEMS
ENERGY TRANSFER
FLUID MECHANICS
KINETICS
MATHEMATICAL LOGIC
MECHANICS
OPERATION
RADIATION FLUX
REACTOR COMPONENTS
REACTOR COOLING SYSTEMS
REACTORS
RESEARCH AND TEST REACTORS
TANK TYPE REACTORS
TEST REACTORS
WATER COOLED REACTORS
WATER MODERATED REACTORS
210200* - Power Reactors
Nonbreeding
Light-Water Moderated
Nonboiling Water Cooled
220600 - Nuclear Reactor Technology- Research
Test & Experimental Reactors