A Formalized Approach for the Collection of HRA Data from Nuclear Power Plant Simulators (NUREG/CR-7163)
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Publication Information
Manuscript Completed: September 2013
Date Published: May 2014
Prepared by:
B. Hallbert, T. Morgan, J. Hugo, J. Oxstrand, J. J. Persensky
Idaho National Laboratory
2525 Fremont Avenue
Idaho Falls, ID 83415
Erasmia Lois, NRC Project Manager
Prepared for:
Office of Nuclear Regulatory Research
U.S. Nuclear Regulatory Commission
Washington, DC 20555-0001
NRC Job Code Y6388
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Abstract
Data from nuclear power plant (NPP) simulator environments reflect important aspects of human performance and potentially the causes of human error. However, the information collected is constrained by the uniqueness of each particular plant and design of each particular simulator study. Thus, the ability to apply the findings of a given simulator study to other studies of human performance at NPPs is often limited. A well-defined approach to experimental design, a common language or measurement technique for describing and classifying errors and human actions, and an associated theoretical underpinning for the design and resulting statistical analyses are required to allow extrapolation of the results of simulator studies across plant designs, crew make-ups, and scenarios.
The purpose of this report is: to propose an approach for collecting human performance data from NPP simulators and employing the reliability engineering (RE) concept of limit state, to describe the process for collecting data, and to present illustrative examples of data analyses. This approach borrows from techniques applied in traditional RE while using experimental techniques derived from the behavioral sciences.
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