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The Virtual Human Reliability Analyst

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Advances in Human Error, Reliability, Resilience, and Performance (AHFE 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 589))

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Abstract

This paper introduces the virtual human reliability analyst model (VHRAM). The VHRAM is an approach that automates the HRA process to enable HRA elements to be included in simulations in general and simulation based risk analysis in particular. Inspirations from clinical AI and game development are discussed as well as the possibilities for a VHRAM to be used outside of a simulated virtual twin of a nuclear power plant.

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Acknowledgments

This paper was written as part of the Risk Informed Safety Margin Characterization (RISMC) research pathway within the U.S. Department of Energy’s Light Water Reactor Sustainability (LWRS) program that aims to extend the life of the currently operating fleet of commercial nuclear power plants. The research presented in this paper aims to feed into the current work on the CoBHRA approach (previously abbreviated CBHRA) called Human Unimodel for Nuclear Technology to Enhance Reliability (HUNTER; [16, 34, 35]).

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Authors and Affiliations

  1. NTNU Social Research, Studio Apertura, Dragvoll Allé 38 B, 7491, Trondheim, Norway

    Martin Rasmussen

  2. Idaho National Laboratory, P.O. Box 1625, Idaho Falls, ID, 83415-3818, USA

    Ronald Boring & Sarah Ewing

  3. Universitity of Idaho, 709 S Deakin Street, Moscow, ID, 83844, USA

    Thomas Ulrich

Authors
  1. Martin Rasmussen
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  2. Ronald Boring
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  3. Thomas Ulrich
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  4. Sarah Ewing
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Corresponding author

Correspondence to Martin Rasmussen .

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Editors and Affiliations

  1. Idaho National Laboratory, Idaho Falls, Idaho, USA

    Ronald Laurids Boring

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Rasmussen, M., Boring, R., Ulrich, T., Ewing, S. (2018). The Virtual Human Reliability Analyst. In: Boring, R. (eds) Advances in Human Error, Reliability, Resilience, and Performance. AHFE 2017. Advances in Intelligent Systems and Computing, vol 589. Springer, Cham. https://doi.org/10.1007/978-3-319-60645-3_25

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  • DOI: https://doi.org/10.1007/978-3-319-60645-3_25

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-60644-6

  • Online ISBN: 978-3-319-60645-3

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