Automated generation of nonlinear system characterization for sensor failure detection
Conference
·
OSTI ID:6219251
Independent estimation of critical signals is required for use in consistency checking of instrument outputs and for isolating common-mode failures. When measurement redundancy is not available, this method can be used for monitoring sensor degradation or sensor drift by on-line prediction of the sensor output. A methodology is developed to characterize a given critical signal as a function of other related variables in a process by a nonlinear minimum-term model. This steady-state characterization is fully automated and implemented in a VAX workstation and is applied for sensor failure monitoring in a power plant. 5 refs., 4 figs.
- Research Organization:
- Tennessee Univ., Knoxville (USA). Dept. of Nuclear Engineering
- DOE Contract Number:
- AC02-86NE37959
- OSTI ID:
- 6219251
- Report Number(s):
- DOE/NE/37959-27; CONF-8904207-1; ON: DE89011497
- Country of Publication:
- United States
- Language:
- English
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Related Subjects
22 GENERAL STUDIES OF NUCLEAR REACTORS
220400* -- Nuclear Reactor Technology-- Control Systems
99 GENERAL AND MISCELLANEOUS
990220 -- Computers
Computerized Models
& Computer Programs-- (1987-1989)
ALGORITHMS
AUTOMATION
COMPUTER ARCHITECTURE
COMPUTERIZED CONTROL SYSTEMS
CONTROL SYSTEMS
FAILURES
MATHEMATICAL LOGIC
MONITORING
NONLINEAR PROBLEMS
NUCLEAR FACILITIES
NUCLEAR POWER PLANTS
POWER PLANTS
SYSTEM FAILURE ANALYSIS
SYSTEMS ANALYSIS
THERMAL POWER PLANTS
220400* -- Nuclear Reactor Technology-- Control Systems
99 GENERAL AND MISCELLANEOUS
990220 -- Computers
Computerized Models
& Computer Programs-- (1987-1989)
ALGORITHMS
AUTOMATION
COMPUTER ARCHITECTURE
COMPUTERIZED CONTROL SYSTEMS
CONTROL SYSTEMS
FAILURES
MATHEMATICAL LOGIC
MONITORING
NONLINEAR PROBLEMS
NUCLEAR FACILITIES
NUCLEAR POWER PLANTS
POWER PLANTS
SYSTEM FAILURE ANALYSIS
SYSTEMS ANALYSIS
THERMAL POWER PLANTS