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Efficient multi-order uncertainty computation for 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 in [19,20,21].”
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Metadata
- Authors
- Döhler, M., & Mevel, L.
- Affiliations
- Institut national de recherche en sciences et technologies du numérique (FR)
- Corresponding author
- Döhler, Michael
- Venue
- Mechanical Systems and Signal Processing
- Publisher
- Elsevier BV
- Published
- 2013-07
- Volume
- 38
- Issue
- 2
- Pages
- 346-366
- ISSN
- 0888-3270 (ISSN-L)
- OpenAlex
- W1995899078
- Cited by
- 163
- References
- 22
- Citations by year
- 2026: 15 · 2025: 20 · 2024: 21 · 2023: 21 · 2022: 15 · 2021: 19 · 2020: 12 · 2019: 3 · 2018: 4 · 2017: 14 · 2016: 5 · 2015: 5 · 2014: 4 · 2013: 4
- FWCI
- 13.04
- Type
- journal article
- Language
- en
- Open access
- green
- inria.hal.science
- Licence
- other-oa
- Locations
- Mechanical Systems and Signal Processing (publishedVersion)
- HAL (submittedVersion, other-oa)
- 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
- stochastic subspace identification, uncertainty bounds, modal parameters, stabilization diagram, model reduction, computational efficiency, modal analysis, structural dynamics
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