SPAR-H: Human Error Probabilities for Nuclear Power Plant Operations

Harold S. Blackman of the Idaho National Laboratory describes a dataset for human reliability analysis (HRA) quantification. The SPAR-H method estimates human error probabilities (HEPs) for operator actions in nuclear power plants. The technique uses pre-defined nominal error rates for cognitive and action-oriented tasks, adjusted by performance shaping factor multipliers.

Use Cases

• Modeling human error probabilities based on cognitive vs. action-oriented task classifications.
• Quantifying the impact of performance shaping factors on operator reliability.
• Conducting probabilistic risk assessments for nuclear power plant operations.

Strengths

• Method developed by a national laboratory (Idaho National Laboratory) for defensible analysis.
• Calculation approach is described as straightforward, starting with pre-defined nominal error rates.
• Designed to consider all factors that may influence human performance.

Limitations

• Row count, column definitions, and sample data are unknown, limiting suitability assessment.
• License is closed, restricting open use and redistribution.
• Last update date is unknown; freshness unverified.

Provenance

Source

Idaho National Laboratory

Collection Method

Developed as a cognitively based human reliability analysis (HRA) quantification technique.