Publication Date
1-1-2023
Document Type
Article
Publication Title
Nuclear Technology
Volume
209
Issue
3
DOI
10.1080/00295450.2022.2067461
First Page
276
Last Page
294
Abstract
Human factors and ergonomics have played an essential role in increasing the safety and performance of operators in the nuclear energy industry. In this critical review, we examine how artificial intelligence (AI) technologies can be leveraged to mitigate human errors, thereby improving the safety and performance of operators in nuclear power plants (NPPs). First, we discuss the various causes of human errors in NPPs. Next, we examine the ways in which AI has been introduced to and incorporated into different types of operator support systems to mitigate these human errors. We specifically examine (1) operator support systems, including decision support systems, (2) sensor fault detection systems, (3) operation validation systems, (4) operator monitoring systems, (5) autonomous control systems, (6) predictive maintenance systems, (7) automated text analysis systems, and (8) safety assessment systems. Finally, we provide some of the shortcomings of the existing AI technologies and discuss the challenges still ahead for their further adoption and implementation to provide future research directions.
Funding Number
DE-NE0008978
Funding Sponsor
U.S. Department of Energy
Keywords
artificial intelligence, human errors, Human factors, nuclear power plants, operator support systems
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.
Department
Marketing and Business Analytics
Recommended Citation
Meenu Sethu, Bhavya Kotla, Darrell Russell, Mahboubeh Madadi, Nesar Ahmed Titu, Jamie Baalis Coble, Ronald L. Boring, Klaus Blache, Vivek Agarwal, Vaibhav Yadav, and Anahita Khojandi. "Application of Artificial Intelligence in Detection and Mitigation of Human Factor Errors in Nuclear Power Plants: A Review" Nuclear Technology (2023): 276-294. https://doi.org/10.1080/00295450.2022.2067461
Comments
This is the Version of Record and can also be read online here.