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.
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.
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