VIPER (Visualizaiton for Predictive Maintenance Recommendation)
Description
VIPER presents comprehensive system health diagnostics, explainability metrics, and actionable recommendations to system engineers at nuclear power plants, enabling informed decision-making through an easy-to-use visualization interface. A multi-mode
Detailed example
system diagnostic and prognostic results, system decription and root cause explanations
AI / analytics pattern
Generative AI: AI that generates new or synthetic content (e.g., images, videos, audio, text, code).
Automation level / stage
b) Pilot – The use case has been deployed in a limited test or pilot capacity.
Expected benefit
reduce labor and costs to performance maintenance tasks in existing light water reactors
Audit / financial statement impact
Does not meet any requiremnts for high Impact use case
Controls / human review
ATO: Yes; PIA: Not published
Data needed
sensor data from Salem and Hope Creek nuclear power plants, operated by PSEG NRC, EPRI, and INL public reports