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A framework to collect human reliability analysis data for nuclear power plants using a simplified simulator and student operators
•The Simplified Human Error Experimental Program (SHEEP) framework is proposed.•SHEEP aims to collect HRA data using simplified simulators and student operators.•The differences between student and professional operators using a simplified simulator are investigated.•The use of SHEEP data to support...
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Published in: | Reliability engineering & system safety 2022-05, Vol.221, p.108326, Article 108326 |
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Main Authors: | , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | •The Simplified Human Error Experimental Program (SHEEP) framework is proposed.•SHEEP aims to collect HRA data using simplified simulators and student operators.•The differences between student and professional operators using a simplified simulator are investigated.•The use of SHEEP data to support HuREX data collection is explored.
Data scarcity in human reliability analysis (HRA) has been a major challenge in the quantification process. Many institutes have collected HRA data through experiments using full-scope simulators with actual operators. Nevertheless, there are still some limitations to relying solely on full-scope studies. This paper aims to propose how full-scope data collection studies can be supported through the Simplified Human Error Experimental Program (SHEEP). The SHEEP framework was developed by Idaho National Laboratory (INL) to collect HRA data through a simplified simulator and student operators. This paper introduces the major tasks in the SHEEP framework, with a particular focus on differences that arise due to participant type (i.e., student vs. actual operator), based on experiments using a simplified simulator (i.e., the Rancor Microworld). This paper also describes whether the data collected via this approach could support a representative full-scope data collection study (i.e., the HuREX study) based on the experimental data. |
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ISSN: | 0951-8320 1879-0836 |
DOI: | 10.1016/j.ress.2022.108326 |