Uncertainty bounds on modal parameters obtained from stochastic subspace identification
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The confidence interval metric for modal parameters estimated under stochastic conditions has been well established for aligned and properly sampled data.
“The confidence interval metric for modal parameters estimated under stochastic conditions has been well established for aligned and properly sampled data in [19,20,21].”
SSI-COV integrates seamlessly into a Monte Carlo framework; it is computationally efficient, robust, and well suited for automation, making it ideal for reproducible modal parameter extraction.
“In addition, SSI-COV integrates seamlessly into a Monte Carlo framework. It is computationally efficient, robust, and well suited for automation, making it ideal for reproducible modal parameter extraction [20,33,34,35].”
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REFERENCE-BASED STOCHASTIC SUBSPACE IDENTIFICATION FOR OUTPUT-ONLY MODAL ANALYSIS
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Efficient multi-order uncertainty computation for stochastic subspace identification
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Structural health monitoring with statistical methods during progressive damage test of S101 Bridge
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“It is computationally efficient, robust, and well suited for automation, making it ideal for reproducible modal parameter extraction [20,33–35].”
- Authors
- Reynders, E., Pintelon, R., & De Roeck, G.
- Affiliations
- KU Leuven (BE)
- Vrije Universiteit Brussel (BE)
- Corresponding author
- Reynders, Edwin
- Venue
- Mechanical Systems and Signal Processing
- Publisher
- Elsevier BV
- Published
- 2008-05
- Volume
- 22
- Issue
- 4
- Pages
- 948-969
- ISSN
- 0888-3270 (ISSN-L)
- OpenAlex
- W2092243936
- Cited by
- 454
- References
- 17
- Citations by year
- 2026: 26 · 2025: 36 · 2024: 48 · 2023: 34 · 2022: 35 · 2021: 34 · 2020: 35 · 2019: 19 · 2018: 18 · 2017: 30 · 2016: 18 · 2015: 16 · 2014: 29 · 2013: 21 · 2012: 21
- FWCI
- 16.69
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Mechanical Systems and Signal Processing (publishedVersion)
- VUBIR (Vrije Universiteit Brussel) (submittedVersion)
- Funders
- Vlaamse regering
- Topics
- Physical Sciences › Engineering › Civil and Structural Engineering › Structural Health Monitoring Techniques
- Physical Sciences › Engineering › Control and Systems Engineering › Control Systems and Identification
- Physical Sciences › Mathematics › Applied Mathematics › Statistical and numerical algorithms
- Keywords
- modal parameter identification, uncertainty bounds, stochastic subspace identification, ambient vibration testing, bias removal, variance estimation, stabilization diagram, sensitivity analysis, structural dynamics
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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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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