Cited by 55Structural Health Monitoring TechniquesMachine Fault Diagnosis TechniquesInfrastructure Maintenance and Monitoring

Identification of member connectivity and mass changes on a two-storey framed structure using frequency response functions and artificial neural networks

Dackermann, Ulrike, Li, Jianchun, Samali, Bijan·2013·Journal of Sound and Vibration

Integrity signals

Registry

Crossref · 10.1016/j.jsv.2013.02.018

Cites

34 of 34 references verified0 citation errors · 0 not checkable

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Authors
Dackermann, U., Li, J., & Samali, B.
Affiliations
University of Technology Sydney (AU)
Corresponding author
Dackermann, Ulrike
Venue
Journal of Sound and Vibration
Publisher
Elsevier BV
Published
2013-08
Volume
332
Issue
16
Pages
3636-3653
ISSN
0022-460X (ISSN-L)
OpenAlex
W2005325488
Cited by
55
References
34
Citations by year
2026: 2 · 2025: 4 · 2024: 3 · 2023: 8 · 2022: 6 · 2021: 11 · 2020: 3 · 2019: 2 · 2018: 3 · 2017: 1 · 2016: 4 · 2015: 1 · 2014: 5 · 2013: 2
FWCI
8.68
Type
journal article
Language
en
Open access
closed
Locations
  • Journal of Sound and Vibration (publishedVersion)
  • OPUS - Open Publications of UTS Scholars (University of Technology Sydney) (submittedVersion)
Funders
Faculty of Engineering and Information Technology, University of Technology Sydney
Topics
  • Physical Sciences › Engineering › Civil and Structural Engineering › Structural Health Monitoring Techniques
  • Physical Sciences › Engineering › Control and Systems Engineering › Machine Fault Diagnosis Techniques
  • Physical Sciences › Engineering › Civil and Structural Engineering › Infrastructure Maintenance and Monitoring
Keywords
structural health monitoring, frequency response function, artificial neural networks, network ensembles, mass change detection, principal component analysis, noise reduction, damage index, damage sensitivity

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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

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