Bayesian Tendon Break Localization under Model Uncertainty Using Distributed Fiber Optic Sensors
Implementation, data and results of the paper "Bayesian Tendon Break Localization under Model Uncertainty Using Distributed Fiber Optic Sensors". To generate the results end-to-end, install the environment in a Linux machine using the script in install_environment.sh and running doit from terminal.
Authors
- Aeneas Paul (ORCID: https://orcid.org/0000-0001-6907-6482)
- Daniel Andrés Arcones
Institutions
- Federal Institute For Materials Research and Testing (DE)
- Ruhr University Bochum (DE)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-04-01
- DOI
- https://doi.org/10.5281/zenodo.18713386
- Primary Topic
- Target Tracking and Data Fusion in Sensor Networks
- Type
- article
- Field-Weighted Citation Impact
- 0.00