Application of a model-based fault detection system to nuclear plant signals
Abstract
To assure the continued safe and reliable operation of a nuclear power station, it is essential that accurate online information on the current state of the entire system be available to the operators. Such information is needed to determine the operability of safety and control systems, the condition of active components, the necessity of preventative maintenance, and the status of sensory systems. To this end, ANL has developed a new Multivariate State Estimation Technique (MSET) which utilizes advanced pattern recognition methods to enhance sensor and component operational validation for commercial nuclear reactors. Operational data from the Crystal River-3 (CR-3) nuclear power plant are used to illustrate the high sensitivity, accuracy, and the rapid response time of MSET for annunciation of a variety of signal disturbances.
- Authors:
-
- Argonne National Lab., IL (United States)
- Florida Power Corp., Crystal River, FL (United States)
- Publication Date:
- Research Org.:
- Argonne National Lab. (ANL), Argonne, IL (United States)
- Sponsoring Org.:
- USDOE Office of Energy Research, Washington, DC (United States)
- OSTI Identifier:
- 481606
- Report Number(s):
- ANL/RA/CP-92110; CONF-970765-2
ON: DE97052981; TRN: 97:011072
- DOE Contract Number:
- W-31109-ENG-38
- Resource Type:
- Conference
- Resource Relation:
- Conference: International conference on intelligent systems applications to power systems, Seoul (Korea, Republic of), 6-10 Jul 1997; Other Information: PBD: [1997]
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 22 NUCLEAR REACTOR TECHNOLOGY; 21 NUCLEAR POWER REACTORS AND ASSOCIATED PLANTS; REACTOR MONITORING SYSTEMS; CRYSTAL RIVER-3 REACTOR; NUCLEAR POWER PLANTS; ON-LINE SYSTEMS; REACTOR INSTRUMENTATION; PROBABILISTIC ESTIMATION; PATTERN RECOGNITION
Citation Formats
Gross, K C, Singer, R M, Wegerich, S W, Herzog, J P, VanAlstine, R, and Bockhorst, F. Application of a model-based fault detection system to nuclear plant signals. United States: N. p., 1997.
Web.
Gross, K C, Singer, R M, Wegerich, S W, Herzog, J P, VanAlstine, R, & Bockhorst, F. Application of a model-based fault detection system to nuclear plant signals. United States.
Gross, K C, Singer, R M, Wegerich, S W, Herzog, J P, VanAlstine, R, and Bockhorst, F. 1997.
"Application of a model-based fault detection system to nuclear plant signals". United States. https://www.osti.gov/servlets/purl/481606.
@article{osti_481606,
title = {Application of a model-based fault detection system to nuclear plant signals},
author = {Gross, K C and Singer, R M and Wegerich, S W and Herzog, J P and VanAlstine, R and Bockhorst, F},
abstractNote = {To assure the continued safe and reliable operation of a nuclear power station, it is essential that accurate online information on the current state of the entire system be available to the operators. Such information is needed to determine the operability of safety and control systems, the condition of active components, the necessity of preventative maintenance, and the status of sensory systems. To this end, ANL has developed a new Multivariate State Estimation Technique (MSET) which utilizes advanced pattern recognition methods to enhance sensor and component operational validation for commercial nuclear reactors. Operational data from the Crystal River-3 (CR-3) nuclear power plant are used to illustrate the high sensitivity, accuracy, and the rapid response time of MSET for annunciation of a variety of signal disturbances.},
doi = {},
url = {https://www.osti.gov/biblio/481606},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Thu May 01 00:00:00 EDT 1997},
month = {Thu May 01 00:00:00 EDT 1997}
}