Published February 1985
| Version v1
Report
Preliminary quantification for human reliability analysis
Description
A comprehensive probabilistic risk study for a nuclear power plant includes an assessment of human reliability, in which large numbers of human interactions are identified in the fault trees and quantified. Many of these will not ultimately contribute significantly to risk, so some method of preliminary discrimination or screening is usually employed to reduce the number of interactions needing detailed analysis. The objective is to apply the often limited resources available for human reliability analysis in the most efficient way. This paper describes the approach to preliminary quantification developed for one particular risk study, the Darlington Probabilistic Safety Evaluation (DPSE), currently under way in Ontario Hydro
Additional details
Publishing Information
- Imprint Title
- International topical meeting on probabilistic safety methods and applications: proceedings. Volume 2. Sessions 9-16
- Journal Page Range
- p. 92.1-92.10.
- Report number
- EPRI-NP--3912-SR-Vol.2
Conference
- Title
- International ANS/ENS topical meeting on probabilistic safety methods and applications.
- Dates
- 24 Feb - 1 Mar 1985.
- Place
- San Francisco, CA (USA).
INIS
- Country of Publication
- United States
- Country of Input or Organization
- United States
- INIS RN
- 19023820
- Subject category
- S21: SPECIFIC NUCLEAR REACTORS AND ASSOCIATED PLANTS;
- Resource subtype / Literary indicator
- Conference, Non-conventional Literature
- Descriptors DEI
- DARLINGTON-1 REACTOR; DARLINGTON-2 REACTOR; DARLINGTON-3 REACTOR; DARLINGTON-4 REACTOR; ERRORS; FAULT TREE ANALYSIS; HUMAN FACTORS; MAN-MACHINE SYSTEMS; PROBABILITY; REACTOR SAFETY; RELIABILITY; RISK ASSESSMENT
- Descriptors DEC
- CANDU TYPE REACTORS; HEAVY WATER COOLED REACTORS; HEAVY WATER MODERATED REACTORS; NATURAL URANIUM REACTORS; PHWR TYPE REACTORS; POWER REACTORS; PRESSURE TUBE REACTORS; REACTORS; SAFETY; SYSTEM FAILURE ANALYSIS; SYSTEMS ANALYSIS; THERMAL REACTORS