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​​​​​​​​​​​​​​​​​​​​​​​​​Risk-Informed Plant Health and Asset Management​​​​​


To develop better analytical methods and tools for the nuclear power industry to make risk-informed decisions regarding of plant equipment reliability and asset management.

Researchers will develop data analytics tools coupled with risk-informed methods to manage and optimize plant-asset life cycles, budgets, and schedules. These tools and methods enhance the plant operator's ability to manage the performance and health of a nuclear power facility while reducing labor and equipment costs.


The research area will produce risk-analysis tools designed to decrease the operational cost and enhance the safety of nuclear power plants in the short-term (for maintenance optimization) and the long-term (during periods of subsequent license renewal). The software and supporting tools will be available to utilities and vendors that are considering extended operations.

​Planned Major Accomplishments

  • ​Deploy developed and tested knowledge extraction methods from plant records.

  • Develop integration of model-based systems engineering tools and models with ​machine learning and artificial intelligence methods.

  • ​Develop computer-based reasoning methods based on plant data and model-based systems engineering ​models. 

​For more information, contact

Svetlana (Lana) Lawrence
Risk-Informed Systems Analysis, Pathway Lead
Idaho National Laboratory


Risk-Informed Asset Management framework