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Cited by 22Structural Health Monitoring TechniquesReliability and Maintenance OptimizationStructural Integrity and Reliability Analysis

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Quantifying the value of structural health monitoring information with measurement bias impacts in the framework of dynamic Bayesian Network

Zhang, Wei-Heng, Qin, Jianjun, Lu, Da-Gang, Liu, Min, Faber, Michael Havbro·2023·Mechanical Systems and Signal Processing
DOI 10.1016/j.ymssp.2022.109916
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Metadata

Authors
Zhang, W.-H., Qin, J., Lu, D.-G., Liu, M., & Faber, M. H.
Affiliations
  • Shanghai Jiao Tong University (CN)
  • Harbin Institute of Technology (CN)
  • Aalborg University (DK)
Corresponding author
Qin, Jianjun
ORCID
Venue
Mechanical Systems and Signal Processing
Publisher
Elsevier BV
Published
2023-03
Volume
187
Pages
109916
ISSN
0888-3270 (ISSN-L)
DOI
10.1016/j.ymssp.2022.109916
OpenAlex
W4308532804
Cited by
22
References
0
Citations by year
2026: 7 · 2025: 4 · 2024: 8 · 2023: 3
FWCI
1.64
Type
journal article
Language
en
Open access
closed
Licence
Locations
  • Mechanical Systems and Signal Processing (publishedVersion)
  • VBN Forskningsportal (Aalborg Universitet) (submittedVersion)
Funders
  • Ministry of Science and Technology of the People's Republic of China
  • China Scholarship Council (201906120281)
  • National Key Research and Development Program of China (2021YFB2600500)
Topics
  • Physical Sciences › Engineering › Civil and Structural Engineering › Structural Health Monitoring Techniques
  • Physical Sciences › Engineering › Safety, Risk, Reliability and Quality › Reliability and Maintenance Optimization
  • Physical Sciences › Engineering › Mechanical Engineering › Structural Integrity and Reliability Analysis
Keywords
structural health monitoring, value of information, measurement bias, measurement uncertainty, dynamic Bayesian networks, structural integrity management, risk-based inspection, inspection and maintenance planning, welded joints, fatigue loading, epistemic uncertainty

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