Challenges in leveraging existing human performance data for quantifying the IDHEAS HRA method

Liao, Huafei N.; Groth, Katrina; Stevens-Adams, Susan

doi:10.1016/j.ress.2015.07.018

Title: Challenges in leveraging existing human performance data for quantifying the IDHEAS HRA method

Journal Article · Wed Jul 29 00:00:00 EDT 2015 · Reliability Engineering and System Safety

DOI:https://doi.org/10.1016/j.ress.2015.07.018· OSTI ID:1236204

Liao, Huafei N. ^[1]; Groth, Katrina ^[1]; Stevens-Adams, Susan ^[1]

Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)

Our article documents an exploratory study for collecting and using human performance data to inform human error probability (HEP) estimates for a new human reliability analysis (HRA) method, the IntegrateD Human Event Analysis System (IDHEAS). The method was based on cognitive models and mechanisms underlying human behaviour and employs a framework of 14 crew failure modes (CFMs) to represent human failures typical for human performance in nuclear power plant (NPP) internal, at-power events [1]. A decision tree (DT) was constructed for each CFM to assess the probability of the CFM occurring in different contexts. Data needs for IDHEAS quantification are discussed. Then, the data collection framework and process is described and how the collected data were used to inform HEP estimation is illustrated with two examples. Next, five major technical challenges are identified for leveraging human performance data for IDHEAS quantification. Furthermore, these challenges reflect the data needs specific to IDHEAS. More importantly, they also represent the general issues with current human performance data and can provide insight for a path forward to support HRA data collection, use, and exchange for HRA method development, implementation, and validation.

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Research Organization:: Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)

Sponsoring Organization:: USDOE National Nuclear Security Administration (NNSA)

Grant/Contract Number:: AC04-94AL85000

OSTI ID:: 1236204

Alternate ID(s):: OSTI ID: 1237368

Report Number(s):: SAND-20153925J; SAND-2015-0552J; PII: S0951832015002239; TRN: US1600450

Journal Information:: Reliability Engineering and System Safety, Vol. 144, Issue C; ISSN 0951-8320

Publisher:: ElsevierCopyright Statement

Country of Publication:: United States

Language:: English

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Cited by: 12 works

Citation information provided by
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Cited By (2)

BAYES-HEP: Bayesian belief networks for estimation of human error probability Karthick, M.; Senthil Kumar, C.; Paul Robert, T. Life Cycle Reliability and Safety Engineering, Vol. 6, Issue 3 https://doi.org/10.1007/s41872-017-0026-4	journal	September 2017
Combined Effect of Multiple Performance Shaping Factors on Human Reliability: Multiplicative or Additive? Liu, Peng; Liu, Jinting International Journal of Human–Computer Interaction, Vol. 36, Issue 9 https://doi.org/10.1080/10447318.2019.1695461	journal	November 2019

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22 GENERAL STUDIES OF NUCLEAR REACTORS
99 GENERAL AND MISCELLANEOUS
human reliability analysis (HRA)
HRA data
the IntegrateD human event analysis system (IDHEAS)
crew failure mode (CFM)
probabilistic risk assessment (PRA)
error of commission
nuclear power plant (NPP)
decision tree (DT)
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Human reliability analysis (HRA)
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Title: Challenges in leveraging existing human performance data for quantifying the IDHEAS HRA method

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