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Data Architecture and Analytics Requirements for Artificial Intelligence and Machine Learning Applications to Achieve Condition-Based Maintenance

Research output: Book/ReportTechnical Reportpeer-review

Abstract

This report identified some of the important requirements that needs to be taken into consideration as part of the data evolution for the CBM application of a CWS in a NPP. In the data evolution process, the information is converted into insight leading into actions using advancements in AI/ML technologies. A notion of RESET AI: design, development, deployment, and operation principals are introduced to lifecycle of AI technologies. Towards the end of the report, we discussed how this CBM can be realized in a SDE. As path forward, this report lays the foundation for developing a more detailed industry guidance supporting data evolution for other plant applications like operations and plant support. These would be developed as part of ongoing research in the fiscal year 2023.
Original languageEnglish
Place of PublicationUnited States
DOIs
StatePublished - Nov 2022

Keywords

  • 46 - INSTRUMENTATION RELATED TO NUCLEAR SCIENCE AND TECHNOLOGY
  • Artificial Intelligence
  • Condition-Based Maintenance
  • Information automation
  • Seamless Digital Environment

INL Publication Number

  • INL/RPT-22-70350
  • 145245

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