Operational modal analysis with automated SSI-COV algorithm
The modal parameters of a line-like structure are automatically identified using an SSI-COV algorithm applied to ambient vibration data
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Cite As
Cheynet, E. Operational Modal Analysis with Automated SSI-COV Algorithm. Zenodo, 2020, doi:10.5281/ZENODO.3774061.
Acknowledgements
Inspired by: Hierarchical clustering, Fast hierarchical clustering method - PHA
Categories
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General Information
- Version 2.5.0 (2.37 MB)
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View License on GitHub
MATLAB Release Compatibility
- Compatible with R2014b to R2019b
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 2.5.0 | See release notes for this release on GitHub: https://github.com/ECheynet/SSICOV/releases/tag/2.5 |
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| 2.4.0 | See release notes for this release on GitHub: https://github.com/ECheynet/SSICOV/releases/tag/v2.4 |
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| 2.3.0 | See release notes for this release on GitHub: https://github.com/ECheynet/SSICOV/releases/tag/v2.3 |
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| 2.1.0 | typos corrected + minor modification to improve the performances |
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| 2.0.2 | typo |
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| 2.0.1 | Set the default value of Ts as 500*dt instead of 20 s to avoid the crashing problem of Matlab if a very high sampling frequency is used. Ideally, Ts should be between two and six times the value of the lowest eigenfrequency of the system. |
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| 2.0.0 | The distance parameter "pos" for the clustering algorithm is now properly defined using both the difference in terms of frequencies and the MAC number (thank Mihhail Samusev for the help!). Finally, the description of the submission is updated. |
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| 1.0.4 | Updated the definition for the variable "pos" (Cluster analysis) + The default value for the time lag (cross-covariance) is more robustly defined + the variable T1 is preallocated |
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| 1.0.3 | Description |
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| 1.0.2 | Updated description |
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| 1.0.1 | typo |
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| 1.0.0 |
