SPIDARman: System-Level Physics-Informed Detection of Anomalies in Reactor Collected Data Considering Human Errors-Reference-Cited by-同舟云学术

SPIDARman: System-Level Physics-Informed Detection of Anomalies in Reactor Collected Data Considering Human Errors

Published:2024-06-07 Issue: Volume: Page:1-13
ISSN:0029-5450
Container-title:Nuclear Technology
language:en
Short-container-title:Nuclear Technology

Author:

Gursel Ezgi¹,Reddy Bhavya²,Daniels Katy¹,Coble Jamie Baalis³,Madadi Mahboubeh⁴,Agarwal Vivek⁵,Boring Ronald⁵,Yadav Vaibhav⁵,Khojandi Anahita¹^ORCID

Affiliation:

1. University of Tennessee, Knoxville, Department of Industrial and Systems Engineering, Knoxville, Tennessee 37996

2. San Jose State University, Department of Computer Science, San Jose, California 95192

3. University of Tennessee, Knoxville, Department of Nuclear Engineering, Knoxville, Tennessee 37996

4. San Jose State University, Department of Marketing and Business Analytics, San Jose, California 95192

5. Idaho National Laboratory, P.O. Box 1625, Idaho Falls, Idaho 83415

Funder

Department of Energy

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/00295450.2024.2338507

Reference45 articles.

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2. J. W. HINES et al. “Technical Review of On-Line Monitoring Techniques for Performance Assessment Volume 3: Limiting Case Studies ” U.S. Nuclear Regulatory Commission (2008).

3. Methods of Data Collection in Nuclear Power Plants

4. Human Factors in Nuclear Safety

5. Development of a generative-adversarial-network-based signal reconstruction method for nuclear power plants