DOE · DOE-541 · record R3398
VIPER (Visualizaiton for Predictive Maintenance Recommendation)
Department of Energy · NE INL - NE Idaho National Laboratory (NE)
Overview
- Development stage
- PilotSource: b) Pilot – The use case has been deployed in a limited test or pilot capacity.
- High-impact designation
- Not high-impactSource: c) Not high-impact
- Impact justification
- Does not meet any requiremnts for high Impact use case
- Start date
- 2024-09-01 (day precision)Source: 2024-09-01T00:00:00
- Withheld from public reporting
- NoSource: a) No
Mission
- Topic area
- Other
- Operational functions
- Forecasting and prediction, Clinical and medical Derived by keyword rules; see methodology
Problem the AI is intended to solve
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
Expected benefits
reduce labor and costs to performance maintenance tasks in existing light water reactors
System outputs
system diagnostic and prognostic results, system decription and root cause explanations
Technology
- AI classification
- Generative AISource: Generative AI: AI that generates new or synthetic content (e.g., images, videos, audio, text, code).
- System name(s)
- api.hpc.inl.gov
- Custom-developed code
- Yes
- Public source code
- Not available
Sourcing
- How it was built
- Contract and in-houseSource: c) Developed with both contracting and in-house resources
- Vendor (as reported)
- Open Source development
- Vendors (standardized)
- None on the standard list
A vendor is the supplier named by the agency. It does not identify the underlying model or AI technology.
Data and privacy
- Involves PII
- No
- Privacy Impact Assessment
- Not reported
- Authorization to Operate
- Yes
- Demographic features
- Not reported
- Training and evaluation data
- sensor data from Salem and Hope Creek nuclear power plants, operated by PSEG NRC, EPRI, and INL public reports
- Federal Data Catalog
- Not available
Governance
0 of 8 minimum-practice questions answered. A blank answer means the agency reported nothing; it does not mean the practice is absent.
Pre-deployment testingNo answer reported
AI impact assessmentNo answer reported
Independent reviewNo answer reported
Ongoing monitoringNo answer reported
Operator trainingNo answer reported
Fail-safeNo answer reported
Appeal processNo answer reported
User and public consultationNo answer reported
Potential impacts and how they were identified
Not reported