Code underlying the research of end-to-end predictive maintenance planning for eVTOL batteries
DOI:10.4121/e221fc2f-6c79-4933-b7a7-2d6b28c21391.v1
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DOI: 10.4121/e221fc2f-6c79-4933-b7a7-2d6b28c21391
DOI: 10.4121/e221fc2f-6c79-4933-b7a7-2d6b28c21391
Datacite citation style:
van Oosterom, Simon (2025): Code underlying the research of end-to-end predictive maintenance planning for eVTOL batteries. Version 1. 4TU.ResearchData. software. https://doi.org/10.4121/e221fc2f-6c79-4933-b7a7-2d6b28c21391.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Software
This repository contains the code developed for predictive maintenance planning simulations for a fleet of eVTOL (electric vertical take-off and landing) aircraft at Delft University of Technology, as part of Simon van Oosterom's PhD Thesis project (2025).
It is being made public both to act as supplementary data for publications and the PhD thesis of Simon van Oosterom, and in order for other researchers to use this repository in their own work.
History
- 2025-02-12 first online, published, posted
Publisher
4TU.ResearchDataFormat
.pyCode hosting project url
https://gitlab.tudelft.nl/sjmvanoosterom/paper_4_evtol_batteriesOrganizations
TU Delft, Faculty of Aerospace Engineering, Department of Control and OperationsTo access the source code, use the following command:
git clone https://data.4tu.nl/v3/datasets/ba316c03-d1ba-451a-94c1-5124ca21bcde.git "evtol_battery_predictive_maintenance"
