Automated generation of nonlinear system characterization for sensor failure detection
Conference
·
OSTI ID:6720730
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 drifts 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 on an IBM PC, and is applied for sensor failure monitoring in a power plant and a process control industrial system. 5 refs., 5 figs.
- Research Organization:
- Tennessee Univ., Knoxville (USA). Dept. of Nuclear Engineering
- DOE Contract Number:
- AC02-86NE37959
- OSTI ID:
- 6720730
- Report Number(s):
- CONF-881208-1; ON: DE88008740
- Country of Publication:
- United States
- Language:
- English
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