Data Publication

Research data supporting paper 'An interpretable method for operational modal analysis in time-frequency representation and its applications to railway sleepers'

Zeng, Yuanchen | Li, Zili | Núñez, Alfredo

4TU.ResearchData

(2023)

Descriptions

The data and codes were prepared and uploaded to 4TU.ResearchData by Yuanchen Zeng to support the published results in his paper: Zeng Y, Shen C, Nunez A, Dollevoet R, Zhang W, Li Z. (2023). An interpretable method for operational modal analysis in time-frequency representation and its applications to railway sleepers. Structural Control and Health Monitoring, 2023: 6420772.

Keywords

MSL enriched keywords
civil engineered setting
analysis
mineralogical analysis
quantitative mineral identification
MSL vocabulary keywords corresponding to originally assigned keywords
civil engineered setting
Originally assigned keywords
Civil Engineering
FOS: Civil engineering
Engineering
Operational modal analysis
time-frequency representation
frequency domain decomposition
railway tracks
railway sleepers
experimental modal analysis

Metadata


MSL enriched sub domains

geochemistry

Resource Type

Dataset


Source


Source publisher

4TU.ResearchData

DOI


Creators

Zeng, Yuanchen
Li, Zili
Núñez, Alfredo

Contributors

TU Delft, Faculty Of Civil Engineering And Geosciences, Department Of Engineering Structures, Section Of Railway Engineering
Organizational

Citation

Zeng, Y., Li, Z., & Núñez, A. (2023). Research data supporting paper 'An interpretable method for operational modal analysis in time-frequency representation and its applications to railway sleepers' (Version 1) [Dataset]. 4TU.ResearchData. https://doi.org/10.4121/9C932A49-95AE-401F-91B3-B2A5BFC65929.V1


References


Dates

Issued 2023-07-19

Language

en


Funding References

Funder Name ProRail
Award Title ProRail
Funder Name EU Horizon 2020 Program for Research and Innovation
Award Number 636237
Award Title NeTIRail-INFRA
Funder Name Shift2Rail Joint Undertaking under the European Union’s Horizon 2020 Research and Innovation Program
Award Number 101012456
Award Title In2Track3

Rights

Locations

- no geo-locations found -