Trend and pattern analysis of operating reactor data from licensee event reports
Description
Trend and pattern analysis are oft-cited goals in the review of operational data reported by nuclear utilities to the Nuclear Regulatory Commission (NRC). The NRC Office of Analysis and Evaluation of Operational Data in conjunction with EG and G Idaho, Inc., has developed software which uses contingency table techniques to perform such analysis. The objective of the analysis is to identify outliers and anomolous behavior within the data which would be good candidates for detailed engineering follow-up. This paper briefly discusses the Sequence Coding and Search System (SCSS) Licensee Event Report (LER) data base which contains data in a form amenable to cross-classification, the data retrieval and statistical software employed in conjunction with the SCSS, and the results of a trial application to the 1981 LER data
Availability note (English)
MF available from INIS under the Report Number; Available from NTIS, PC A02/MF A01; 1 as DE84005683.
Files
Additional details
Publishing Information
- Imprint Pagination
- 25 p.
- Report number
- EGG-M--26183
Conference
- Title
- Symposium on national energy issues.
- Dates
- 19-21 Oct 1983.
- Place
- Rockville, MD (USA).
INIS
- Country of Publication
- United States
- Country of Input or Organization
- United States
- INIS RN
- 15047160
- Subject category
- S21: SPECIFIC NUCLEAR REACTORS AND ASSOCIATED PLANTS;
- Resource subtype / Literary indicator
- Conference
- Descriptors DEI
- CORRELATIONS; DATA PROCESSING; INFORMATION RETRIEVAL; NUCLEAR POWER PLANTS; PATTERN RECOGNITION; REACTOR OPERATION; REACTOR SAFETY; STATISTICS; US NRC
- Descriptors DEC
- MATHEMATICS; NATIONAL ORGANIZATIONS; NUCLEAR FACILITIES; OPERATION; POWER PLANTS; SAFETY; THERMAL POWER PLANTS; US ORGANIZATIONS
Optional Information
- Secondary number(s)
- CONF-8310248--1.