Use of Non-Parametric Statistical Method in Identifying Repetitive High Dose Jobs in a Nuclear Power Plant
Creators
- 1. Seoul National University, Seoul (Korea, Republic of)
- 2. Korea Hydro and Nuclear Power Co. Ltd., Deajeon (Korea, Republic of)
Description
The cost-effective reduction of occupational radiation dose (ORD) at a nuclear power plant could not be achieved without going through an extensive analysis of accumulated ORD data of existing plants. Through the data analysis, it is required to identify what are the jobs of repetitive high ORD at the nuclear power plant. In this study, Percentile Rank Sum Method (PRSM) is proposed to identify repetitive high ORD jobs, which is based on non-parametric statistical theory. As a case study, the method is applied to ORD data of maintenance and repair jobs at Kori units 3 and 4 that are pressurized water reactors with 950 MWe capacity and have been operated since 1986 and 1987, respectively in Korea. The results was verified and validated, and PRSM has been demonstrated to be an efficient method of analyzing the data.
Additional details
Publishing Information
- Journal Title
- Journal of the Korean Radioactive Waste Society
- Journal Volume
- 2
- Journal Issue
- 1
- Series
- 7 refs, 7 tabs
- Journal Page Range
- p. 41-51
- ISSN
- 1738-1894
INIS
- Country of Publication
- Korea, Republic of
- Country of Input or Organization
- Korea, Republic of
- INIS RN
- 42030958
- Subject category
- S22: GENERAL STUDIES OF NUCLEAR REACTORS; S61: RADIATION PROTECTION AND DOSIMETRY;
- Descriptors DEI
- DATA ANALYSIS; KORI-3 REACTOR; KORI-4 REACTOR; MAINTENANCE; NUCLEAR POWER PLANTS; RADIATION DOSES
- Descriptors DEC
- DOSES; ENRICHED URANIUM REACTORS; NUCLEAR FACILITIES; POWER PLANTS; POWER REACTORS; PWR TYPE REACTORS; REACTORS; THERMAL POWER PLANTS; THERMAL REACTORS; WATER COOLED REACTORS; WATER MODERATED REACTORS