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An experimental study on estimating human error probability (HEP) parameters for PSA/HRA by using human model

H Yoshikawa1, W Wu

  • 1Graduate School of Energy Science, Kyoto University, Japan. yosikawa@uji.energy.kyoto-u.ac.jp

Ergonomics
|December 3, 1999
PubMed
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This study proposes a framework for Human Error Probability (HEP) parameters in nuclear power plant safety assessments. A human model simulation was validated against experimental data to estimate Human Cognitive Reliability (HCR) for Probabilistic Safety Assessment (PSA).

Area of Science:

  • Nuclear Engineering
  • Human Factors Engineering
  • Cognitive Psychology

Background:

  • Probabilistic Safety Assessment (PSA) is crucial for nuclear power plant safety.
  • Human Reliability Analysis (HRA) is a key component of PSA.
  • Accurate estimation of Human Error Probability (HEP) parameters is essential for effective HRA.

Purpose of the Study:

  • To propose a framework for Human Error Probability (HEP) parameters.
  • To develop and validate a human model for simulating cognitive behavior in anomaly detection and diagnosis.
  • To confirm the applicability of the human model for estimating HEP parameters in PSA/HRA.

Main Methods:

  • Development of a Human Error Probability (HEP) parameter framework.
  • Conducting a laboratory experiment to gather data on human cognitive behavior.

Related Experiment Videos

  • Constructing a computer simulation model (human model) based on experimental data.
  • Inter-comparison of experimental data and human model simulations.
  • Estimation of Human Cognitive Reliability (HCR) curves.

    • Main Results:

    • A novel framework for HEP parameters was proposed.
    • A validated human model accurately describes cognitive behavior in anomaly detection and diagnosis.
    • Human Cognitive Reliability (HCR) curves were successfully estimated.
    • The study confirmed the applicability of the human model for PSA/HRA.

    Conclusions:

    • The proposed framework and validated human model enhance the accuracy of Human Reliability Analysis (HRA).
    • This approach improves the estimation of Human Error Probability (HEP) parameters for Probabilistic Safety Assessment (PSA) in nuclear power plants.
    • The findings contribute to more robust safety assessments in the nuclear industry.