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https://accedacris.ulpgc.es/handle/10553/140567
| Title: | Dataset employed in "Operational Modal Analysis from multi-setup measurements with roving references and Stochastic Subspace Identification" | Authors: | González Jiménez, Samuel Padrón Hernández, Luis Alberto Álamo, Guillermo Rodríguez Bordón, Jacob |
Issue Date: | 2025 | Publisher: | Zenodo | Description: | <p>This repository contains the dataset used in the scientific article "Operational Modal Analysis from multi-setup measurements with roving references and Stochastic Subspace Identification" by Samuel González-Jiménez, Luis A. Padrón, Guillermo M. Álamo and Jacob D. R. Bordón</p> <p>These files were used in the paper above to validate the presented methodology with synthetically generated data and experimental meassurements of an elevated pedestrian crossing over a highway. </p> <p>The synthetically generated data is obtained from the execution of the file "Gen_num_data.m" which uses the functions "SSI_VB.m" and "add_noise.m", all compressed in the file "Code_for_generating_synthetic_data.zip" . Both functions use the "wgn" function from the Matlab Communications Toolbox.</p> <p>The experimental measurements acquired from the elevated pedestrian crossing are compiled within the archive titled "Experimental_data_Elevated_pedestrian_crossing.zip." This compressed file contains seven .dat files, each designated by a filename that denotes the corresponding measurement locations. Each .dat file is formatted with two columns, corresponding to the sequential measurement values order at the positions indicated in the filename. These measurements have been recorded with two Tromino® Blu devices used as velocimeters, with a chosen dynamic range of ±0.5mm/s.</p> <p> </p> | URI: | https://accedacris.ulpgc.es/handle/10553/140567 | Other Identifiers: | https://doi.org/10.5281/zenodo.15545605 oai:zenodo.org:15545605 |
Rights: | info:eu-repo/semantics/openAccess Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode |
| Appears in Collections: | Datasets ULPGC |
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