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Hierarchical Bayesian modeling for uncertainty quantification and reliability updating using data
Papers | 更新时间:2025-04-21
    • Hierarchical Bayesian modeling for uncertainty quantification and reliability updating using data

    • 基于数据的分层贝叶斯建模:不确定性量化与可靠性更新
    • “In the field of engineering systems, a hierarchical Bayesian modeling framework is introduced to quantify uncertainty and update reliability. Expert established the HBM system, which provides solutions to solve multi-source uncertainty problems in both static and dynamic contexts, laying a foundation for the construction of structural health monitoring systems.”
    • Journal of Reliability Science and Engineering   Issue 2, Pages: 1-16(2025)
    • 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    

      CLC:
    • Received:29 December 2024,

      Revised:2025-03-06,

      Accepted:20 March 2025,

      Published Online:16 April 2025,

      Published:2025

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  • 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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