Abstract
AbstractNuclear energy plays an important role in global energy supply, especially as a key low-carbon source of power. However, safe operation is very critical in nuclear power plants (NPPs). Given the significant impact of human-caused errors on three serious nuclear accidents in history, artificial intelligence (AI) has increasingly been used in assisting operators with regard to making various decisions. In particular, data-driven AI algorithms have been used to identify the presence of accidents and their root causes. However, there is a lack of an open NPP accident dataset for measuring the performance of various algorithms, which is very challenging. This paper presents a first-of-its-kind open dataset created using PCTRAN, a pre-developed and widely used simulator for NPPs. The dataset, namely nuclear power plant accident data (NPPAD), basically covers the common types of accidents in typical pressurised water reactor NPPs, and it contains time-series data on the status or actions of various subsystems, accident types, and severity information. Moreover, the dataset incorporates other simulation data (e.g., radionuclide data) for conducting research beyond accident diagnosis.
Funder
The research was supported by the Innovation Funds of CNNC-Tsinghua Joint Center for Nuclear Energy R&D(Lingchuang Fund) and a grant from the National Natural Science Foundation of China.
Publisher
Springer Science and Business Media LLC
Subject
Library and Information Sciences,Statistics, Probability and Uncertainty,Computer Science Applications,Education,Information Systems,Statistics and Probability
Reference41 articles.
1. Murray, R. & Holbert, K. E. Nuclear Energy: An Introduction to The Concepts, Systems, and Applications of Nuclear Processes (Elsevier Press, 2014).
2. Gu, Z. History review of nuclear reactor safety[J]. Annals of Nuclear Energy 120, 682–690 (2018).
3. Bogue, R. Robots in the nuclear industry: a review of technologies and applications. Industrial Robot: An International Journal 38(2), 113–118 (2011).
4. Marques, J. G. Evolution of nuclear fission reactors: Third generation and beyond. Energy Conversion and Management 51(9), 1774–1780 (2010).
5. Allen, G. & Chan, T. Artificial Intelligence and National Security (Belter Centre for Science and International Affairs Press, 2017).
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