HUMAN ERROR QUANTIFICATION USING PERFORMANCE SHAPING FACTORS IN THE SPAR-H METHOD
This paper describes a cognitively based human reliability analysis (HRA) quantification technique for estimating the human error probabilities (HEPs) associated with operator and crew actions at nuclear power plants. The method described here, Standardized Plant Analysis Risk-Human Reliability Analysis (SPAR-H) method, was developed to aid in characterizing and quantifying human performance at nuclear power plants. The intent was to develop a defensible method that would consider all factors that may influence performance. In the SPAR-H approach, calculation of HEP rates is especially straightforward, starting with pre-defined nominal error rates for cognitive vs. action-oriented tasks, and incorporating performance shaping factor multipliers upon those nominal error rates.
- Research Organization:
- Idaho National Lab. (INL), Idaho Falls, ID (United States)
- Sponsoring Organization:
- OTHER
- DOE Contract Number:
- DE-AC07-99ID-13727
- OSTI ID:
- 940041
- Report Number(s):
- INL/CON-08-14386; TRN: US0806961
- Resource Relation:
- Conference: 52nd Annual Meeting of the Human Factors and Ergonomics Society,New York City, NY,09/22/2008,09/26/2008
- Country of Publication:
- United States
- Language:
- English
Similar Records
Determination of a Generic Human Error Probability Distribution, Part 1: A Dynamic Formulation of SPAR-H
Determination of a Generic Human Error Probability Distribution, Part 2: A Dynamic SPAR-H Example Application