The OPARA service was recently upgraded to a new technical platform. You are visiting the outdated OPARA website. Please use https://opara.zih.tu-dresden.de/ for new data submissions. Previously stored data will be migrated in near future and then the old version of OPARA will finally be shut down. Existing DOIs for data publications remain valid.
eBike measurements for fatigue monitoring and maneuver identification tasks
Metadata
| Other contributing persons, institutions or organisations | eu - Funder | |
| Other contributing persons, institutions or organisations | Kästner, Markus - ProjectLeader | |
| Person(s) who is (are) responsible for the content of the research data | Heindel, Leonhard | |
| Abstract | This dataset provides acceleration and strain measurements from a sensor equipped eBike, which were collected for the development of new methods for fatigue damage monitoring and maneuver identification tasks. | |
| Regions the data is referencing | Dresden | |
| Additional keywords | Predictive Maintenance | |
| Additional keywords | E-Mobility | |
| Additional keywords | Fatigue | |
| Additional keywords | Damage regression | |
| Language | eng | |
| Year or period of data production | 2022 | |
| Publication year | 2022 | |
| Publisher | Technische Universität Dresden | |
| References on related materials | IsPartOf: 123456789/5738 (Handle) | |
| Content of the research data | Image, Dataset, Software: The dataset mainly includes measurement time series files. Additionally, pictures are included to document the experimental setup and a python script is provided in order to facilitate the data access. | |
| Holder of usage rights | Technische Universität Dresden | |
| Usage rights of the data | CC-BY-4.0 | |
| Software | Resource Processing: Python | |
| Discipline(s) | Engineering | de |
| Title of the dataset | eBike measurements for fatigue monitoring and maneuver identification tasks |
Files in this item
This item appears in the following Collection(s)
-
eBike measurements for fatigue monitoring and maneuver identification tasks [1]
This dataset provides acceleration and strain measurements from a sensor equipped eBike, which were collected for the development of new methods for fatigue damage monitoring and maneuver identification tasks.