Generalized consistency checking of multivariable redundant measurements (GCCM) and common-mode failure detection
The limitations of the single-variable consistency checking algorithm for validating redundant measurements are remedied by extending the algorithm to multivariable signals. The redundant measurements of each variable in a subsystem are combined with an estimation of the variable using prediction model. A complex logic algorithm has been developed to perform simultaneous consistency checking of all the variables under consideration. The overall objectives of the generalized consistency checking of multivariable signals (GCCM) are: to separate sensor fault (bias decalibration) from normal changes in the system, and to detect and isolate common-mode sensor failures (indicating correlation in sensor failures). The new algorithm has been implemented in a general purpose PC and in the Micro VAX-II workstation. Both simulated signals and operation data from a four-loop Westinghouse PWR have been used to test the algorithm. This module is being incorporated into the overall signal validation system. Because of the completeness of cross comparison variables, the use of model-based prediction and the use of measurement redundancy, the logic for detecting instrument degradation can be extended to the monitoring of actuator anomaly. The latter is an important aspect of system diagnostics, and may be considered as a dual problem to that of signal validation. 3 refs., 118 figs., 37 tabs.
- Research Organization:
- Tennessee Univ., Knoxville (USA). Dept. of Nuclear Engineering
- DOE Contract Number:
- AC02-86NE37959
- OSTI ID:
- 6457472
- Report Number(s):
- DOE/NE/37959-26; ON: DE89007219
- Resource Relation:
- Other Information: Paper copy only, copy does not permit microfiche production
- Country of Publication:
- United States
- Language:
- English
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