Cited by 157Structural Health Monitoring TechniquesInfrastructure Maintenance and MonitoringStructural Engineering and Vibration Analysis

Structural health monitoring with statistical methods during progressive damage test of S101 Bridge

Open access
Döhler, Michael, Hille, Falk, Mevel, Laurent, Rücker, Werner·2014·Engineering Structures

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Crossref · 10.1016/j.engstruct.2014.03.010

Cites

30 of 30 references verified0 citation errors · 0 not checkable

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  • Output covariances are essential for generating reliable diagnostics for damage detection.

    “the output covariances are essential for generating reliable diagnostics for damage detection.”
  • Monitoring systems often use higher-order statistical moments such as covariances for uncertainty quantification and damage detection.

    “and thus, monitoring systems often use higher-order statistical moments such as covariances for uncertainty quantification and damage detection (Döhler et al., 2014;Montgomery, 2007).”
  • Uncertainty quantification, meaning the estimation and analysis of measurement errors and variability, is equally important as evaluating mean values.

    “Experience with large engineering systems, however, has shown that uncertainty quantification (the estimation and analysis of the measurement errors and variability) is equally important as evaluating the mean values”

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Authors
Döhler, M., Hille, F., Mevel, L., & Rücker, W.
Affiliations
  • Federal Institute For Materials Research and Testing (DE)
  • Institut national de recherche en sciences et technologies du numérique (FR)
Corresponding author
Döhler, Michael
Venue
Engineering Structures
Publisher
Elsevier BV
Published
2014-06
Volume
69
Pages
183-193
ISSN
0141-0296 (ISSN-L)
OpenAlex
W2075535323
Cited by
156
References
30
Citations by year
2026: 10 · 2025: 14 · 2024: 16 · 2023: 19 · 2022: 19 · 2021: 17 · 2020: 15 · 2019: 9 · 2018: 13 · 2017: 12 · 2016: 5 · 2015: 6 · 2014: 1
FWCI
15.34
Type
journal article
Language
en
Open access
Licence
other-oa
Locations
  • Engineering Structures (publishedVersion)
  • HAL (submittedVersion, other-oa)
Topics
  • Physical Sciences › Engineering › Civil and Structural Engineering › Structural Health Monitoring Techniques
  • Physical Sciences › Engineering › Civil and Structural Engineering › Infrastructure Maintenance and Monitoring
  • Physical Sciences › Engineering › Civil and Structural Engineering › Structural Engineering and Vibration Analysis
Keywords
structural health monitoring, vibration-based damage detection, subspace methods, modal parameter identification, confidence intervals, ambient vibration, prestressed concrete bridges, statistical uncertainty, non-stationary excitation, model reduction

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