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Application of Artificial Intelligence in Detection and Mitigation of Human Factor Errors in Nuclear Power Plants: A Review

  • Meenu Sethu
  • , Bhavya Kotla
  • , Darrell Russell
  • , Mahboubeh Madadi
  • , Nesar Ahmed Titu
  • , Jamie Baalis Coble
  • , Ronald L. Boring
  • , Klaus Blache
  • , Vivek Agarwal
  • , Vaibhav Yadav
  • , Anahita Khojandi
  • San Jose State University
  • University of Tennessee
  • Idaho National Laboratory

Research output: Contribution to journalReview articlepeer-review

Original languageEnglish
Pages (from-to)276-294
Number of pages19
JournalNuclear Technology
Volume209
Issue number3
DOIs
StatePublished - 2023
Externally publishedYes

ASJC Scopus Subject Areas

  • Nuclear and High Energy Physics
  • Nuclear Energy and Engineering
  • Condensed Matter Physics

Keywords

  • Human factors
  • artificial intelligence
  • human errors
  • nuclear power plants
  • operator support systems

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