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Automation transparency: A literature review, methodology development, and application to an AI-driven anomaly detection system in nuclear power plants

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Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability

Published online on

Abstract

Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, Ahead of Print.
The U.S. nuclear industry is increasingly modernizing its operations by integrating automation technologies to improve efficiency, safety, and reliability, while minimizing unnecessary costs. However, successfully deploying automation technologies for ...