Uncertainty-aware hierarchical graph neural network for reliable online drifting data stream prediction
Papers|更新时间:2026-04-14
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Uncertainty-aware hierarchical graph neural network for reliable online drifting data stream prediction
面向可靠在线漂移数据流预测的不确定性感知分层图神经网络
Journal of Reliability Science and EngineeringVol. 2, Issue 1, Pages: 1-16(2026)
作者机构:
School of Reliability and Systems Engineering, Beihang University, Beijing, People's Republic of China
Centre for Research on Risk and Crises (CRC), Mines Paris-PSL University, Sophia-Antipolis, France
Energy Department, Politecnico di Milano, Milan, Italy
作者简介:
[
"Peng-Cheng Yan received the Bachelor's degree in quality and reliability engineering from Beihang University, Beijing, China, in 2022.",
"He is currently pursuing the PhD degree at the School of Reliability and Systems Engineering, Beihang University, Beijing, China. His research interests include uncertainty analysis and its applications in engineering systems."
]
[
"Lin Qi received the bachelor's degree in 2023 from Northeast Forestry University, Harbin, China.",
"He is currently pursuing the master's degree with the School of Reliability and Systems Engineering, Beihang University, Beijing, China. His research interests include deep learning for industrial process monitoring."
]
[
"Enrico Zio received the PhD degree from the Politecnico di Milano, Milan, Italy, in 1996, and the PhD degree in probabilistic risk assessment from MIT, MA, USA, in 1998.",
"He is currently a Full Professor with the Centre for Research on Risk and Crises (CRC), MINES Paris-PSL University, Paris, France; a Full Professor and the President of the Alumni Association at the Politecnico di Milano; a Distinguished Guest Professor at Tsinghua University, Beijing, China; an Adjunct Professor with the City University of Hong Kong, Hong Kong, Beihang University, Beijing, and Wuhan University, Wuhan, China; and the Co-Director of the Center for REliability and Safety of Critical Infrastructures (CRESCI) and the Sino-French Laboratory of Risk Science and Engineering (RISE), Beihang University. He is the author or coauthor of seven books and more than 300 articles in international journals. His research focuses on the modeling of the failure repair maintenance behavior of components and complex systems; the analysis of their reliability, maintainability, prognostics, safety, vulnerability, resilience, and security characteristics; and the development and use of Monte Carlo simulation methods, artificial techniques, and optimization heuristics."
]
[
"Yan-Hui Lin received the PhD degree in industrial science and technology from the Université Paris-Saclay, Paris, France, in 2016.",
"He was with the Department of Systems Engineering and Engineering Management, City University of Hong Kong, Hong Kong, as a Senior Research Associate. He is currently an Associate Professor of System Engineering with the School of Reliability and Systems Engineering, Beihang University, Beijing, China. His research interests include degradation modeling, reliability assessment, and prognostic and health management (PHM)."
]
Peng-Cheng Yan, Lin Qi, Enrico Zio, et al. 面向可靠在线漂移数据流预测的不确定性感知分层图神经网络[J]. 可靠性科学与工程学报(英文), 2026, 2: 015301.
Peng-Cheng Yan, Lin Qi, Enrico Zio, et al. Uncertainty-aware hierarchical graph neural network for reliable online drifting data stream prediction[J]. Journal of Reliability Science and Engineering, 2026, 2: 015301.
Peng-Cheng Yan, Lin Qi, Enrico Zio, et al. 面向可靠在线漂移数据流预测的不确定性感知分层图神经网络[J]. 可靠性科学与工程学报(英文), 2026, 2: 015301. DOI: 10.1088/3050-2454/ae449c.
Peng-Cheng Yan, Lin Qi, Enrico Zio, et al. Uncertainty-aware hierarchical graph neural network for reliable online drifting data stream prediction[J]. Journal of Reliability Science and Engineering, 2026, 2: 015301. DOI: 10.1088/3050-2454/ae449c.
Uncertainty-aware hierarchical graph neural network for reliable online drifting data stream prediction