Application of Artificial Intelligence in Detection and Mitigation of Human Factor Errors in Nuclear Power Plants: A Review-Reference-Cited by-同舟云学术

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

Published:2022-06-27 Issue:3 Volume:209 Page:276-294
ISSN:0029-5450
Container-title:Nuclear Technology
language:en
Short-container-title:Nuclear Technology

Author:

Sethu Meenu¹,Kotla Bhavya¹,Russell Darrell²,Madadi Mahboubeh¹^ORCID,Titu Nesar Ahmed²,Coble Jamie Baalis²^ORCID,Boring Ronald L.³^ORCID,Blache Klaus²,Agarwal Vivek³^ORCID,Yadav Vaibhav³,Khojandi Anahita²^ORCID

Affiliation:

1. San Jose State University, One Washington Square, San Jose, California 95192-0069

2. The University of Tennessee, Knoxville, Tennessee 37996

3. Idaho National Laboratory, P.O. Box 1625, Idaho Falls, Idaho 83415-3840

Funder

Nuclear Energy University Program

U.S. Department of Energy

Publisher

Informa UK Limited

Subject

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

Link

https://www.tandfonline.com/doi/pdf/10.1080/00295450.2022.2067461

Reference123 articles.

1. Human factors in maintenance: a review

2. Case Study: Enhancing Human Reliability With Artificial Intelligence and Augmented Reality Tools for Nuclear Maintenance

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