A mid-layer model for human reliability analysis : understanding the cognitive causes of human failure events.
- US Nuclear Regulatory Commission, Washington, DC
- Idaho National Laboratory, Idaho Falls, ID
- Vattenfall Ringhals AB, Varobacka, Sweden
- University of Maryland, College Park, MD
The Office of Nuclear Regulatory Research (RES) at the US Nuclear Regulatory Commission (USNRC) is sponsoring work in response to a Staff Requirements Memorandum (SRM) directing an effort to establish a single human reliability analysis (HRA) method for the agency or guidance for the use of multiple methods. As part of this effort an attempt to develop a comprehensive HRA qualitative approach is being pursued. This paper presents a draft of the method's middle layer, a part of the qualitative analysis phase that links failure mechanisms to performance shaping factors. Starting with a Crew Response Tree (CRT) that has identified human failure events, analysts identify potential failure mechanisms using the mid-layer model. The mid-layer model presented in this paper traces the identification of the failure mechanisms using the Information-Diagnosis/Decision-Action (IDA) model and cognitive models from the psychological literature. Each failure mechanism is grouped according to a phase of IDA. Under each phase of IDA, the cognitive models help identify the relevant performance shaping factors for the failure mechanism. The use of IDA and cognitive models can be traced through fault trees, which provide a detailed complement to the CRT.
- Research Organization:
- Sandia National Laboratories (SNL), Albuquerque, NM, and Livermore, CA (United States)
- Sponsoring Organization:
- USDOE
- DOE Contract Number:
- AC04-94AL85000
- OSTI ID:
- 989988
- Report Number(s):
- SAND2010-1733C; TRN: US1007195
- Resource Relation:
- Conference: Proposed for presentation at the PSAM10 - 10th International Probabilistic Safety Assessment & Management Conference held June 7-11, 2010 in Seattle, WA.
- Country of Publication:
- United States
- Language:
- English
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