Welcome to the PSAM 16 Conference paper and speaker overview page.
Lead Author: Michelle Kichline Co-author(s): Jing Xing, Jing.Xing@nrc.gov
James Chang, James.Chang@nrc.gov
Dependency Analysis Using the Integrated Human Event Analysis System Human Reliability Analysis Methodology
Dependency in the context of human reliability analysis (HRA) refers to the impact of success or failure of a human action on performance of subsequent human actions. Existing dependency models assess the level of dependency between two consecutive human failure events (HFEs) based on the coupling factors or commonalities that exist for both HFEs. The U.S. Nuclear Regulatory Commission (NRC) developed a new dependency model that is informed by behavioral and cognitive science and expands on existing dependency models by identifying the specific cognitive failure modes (CFMs), performance influencing factors (PIFs), and PIF attributes that are impacted by dependency. This new dependency model identifies and evaluates how failure of the first human action affects the context of subsequent human actions. The NRC presents the model in NUREG-2198, “The General Methodology of an Integrated Human Event Analysis System (IDHEAS-G),” issued May 2021. The NRC staff developed IDHEAS-G as a new HRA methodology for agency use. IDHEAS-G is a new general HRA methodology that can be used to develop application-specific HRA methods.
The NRC used the IDHEAS-G framework to develop a new method for performing HRA for nuclear power plant probabilistic risk assessments, which is documented in Research Information Letter 2020-02, “Integrated Human Event Analysis System for Event and Condition Assessment (IDHEAS-ECA),” issued February 2020. Research Information Letter (RIL) 2021-14, “Integrated Human Event Analysis System Dependency Analysis Guidance (IDHEAS-DEP)” documents how to perform a dependency analysis using the dependency model that was developed as part of IDHEAS-G to be used with and the IDHEAS-ECA HRA method. This paper summarizes how to perform dependency analysis using IDHEAS-DEP.
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Author and Presentation Info
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Lead Author Name: Michelle Kichline (Michelle.Kichline@nrc.gov)
Bio: Michelle Kichline is a Senior Reliability and Risk Analyst in the Division of Risk Assessment in the NRC’s Office of Nuclear Reactor Regulation. Ms. Kichline joined the agency in 2010. Prior to joining the NRC, Michelle began her career as a system engineer at boiling water reactor and later earned a Senior Reactor Operator’s license. She holds a Bachelor of Science degree in Chemical Engineering from the Pennsylvannia State University and a Bachelor of Arts degree in Physics from Lycoming College.
Country: United States of America Company: U.S. NRC Job Title: Senior Reliability and Risk Analyst