Published February 1974
| Version v1
Journal article
Results in the application of pattern recognition methods to nuclear reactor core component surveillance
Description
Pattern recognition methods were applied to analyze and interpret neutron noise data from the High Flux Isotope Reactor (HFIR) at ORNL. The results show that it is feasible to detect some core component failures by means of machine-discemible differences in the time-dependent noise power spectra. These neutron spectra (signatures) were analyzed by using a cluster-seeking algorithm to derive a set of templates for automatic computer evaluation of the reactor's mechanical integrity and soundness.
Additional details
Identifiers
Publishing Information
- Journal Title
- IEEE Transactions on Nuclear Science
- Journal Volume
- 21
- Journal Issue
- 1
- Series
- IEEE (Inst. Elec. Electron. Eng.), Trans. Nucl. Sci.
- Journal Page Range
- 750-756
- ISSN
- 0018-9499
Conference
- Title
- 20. nuclear science symposium and 5. nuclear power systems symposium.
- Dates
- 14 Nov 1973.
- Place
- San Francisco, CA.
INIS
- Country of Publication
- United States
- Country of Input or Organization
- United States
- INIS RN
- 5144142
- Subject category
- S21: SPECIFIC NUCLEAR REACTORS AND ASSOCIATED PLANTS;
- Resource subtype / Literary indicator
- Conference
- Descriptors DEI
- DATA ACQUISITION; FAILURES; HFIR REACTOR; MONITORING; NEUTRON SPECTRA; REACTOR COMPONENTS; REACTOR CORES; REACTOR NOISE; VARIATIONS
- Descriptors DEC
- ENRICHED URANIUM REACTORS; IRRADIATION REACTORS; ISOTOPE PRODUCTION REACTORS; REACTORS; RESEARCH AND TEST REACTORS; RESEARCH REACTORS; SPECTRA; TANK TYPE REACTORS; TEST REACTORS; THERMAL REACTORS; WATER COOLED REACTORS; WATER MODERATED REACTORS
Optional Information
- Notes
- Updated automatically by Metadata and Full-Text Enrichment Agent