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基于数据的分层贝叶斯建模:不确定性量化与可靠性更新
Papers | 更新时间:2025-04-21
    • 基于数据的分层贝叶斯建模:不确定性量化与可靠性更新

    • Hierarchical Bayesian modeling for uncertainty quantification and reliability updating using data

    • “在工程系统领域,引入了一种分层贝叶斯建模框架来量化不确定性和更新可靠性。专家建立了HBM系统,为解决静态和动态环境中的多源不确定性问题提供了解决方案,为结构健康监测系统的建设奠定了基础。”
    • 可靠性科学与工程学报(英文)   2025年第2期 页码:1-16
    • 作者机构:

      State Key Laboratory of Reliability and Intelligence of Electrical Equipment, School of Mechanical Engineering, Hebei University of Technology, 300401Tianjin, People's Republic of China

      Department of Mechanical Engineering, University of Thessaly, 38334Volos, Greece

    • DOI:10.1088/3050-2454/adc580    

      中图分类号:
    • 收稿:2024-12-29,

      修回:2025-03-06,

      录用:2025-03-20,

      网络出版:2025-04-16,

      纸质出版:2025

    移动端阅览

  • Xinyu Jia, Weinan Hou, Costas Papadimitriou. Hierarchical Bayesian Modeling for Uncertainty Quantification and Reliability Updating Using Data[J]. Journal of Reliability Science and Engineering, 2025, 1: 025002. DOI: 10.1088/3050-2454/adc580.

    Xinyu Jia, Weinan Hou, Costas Papadimitriou. 基于数据的分层贝叶斯建模:不确定性量化与可靠性更新[J]. 可靠性科学与工程学报(英文), 2025, 1: 025002. DOI: 10.1088/3050-2454/adc580.

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