Batch Distillation Data for Developing Machine Learning Anomaly Detection Methods
| Author: | Justus Arweiler, Indra Jungjohann, Aparna Muraleedharan, Heike Leitte, Jakob Burger, Kerstin Münnemann, Fabian Jirasek, Hans Hasse |
|---|---|
| URL: | https://www.nature.com/articles/s41597-026-07124-3 |
| DOI: | https://doi.org/10.1038/s41597-026-07124-3 |
| ISSN: | 2052-4463 |
| Journal: | Scientific Data |
| Publisher: | Springer Nature - Nature Publishing Group |
| Document Type: | Research Article |
| Language: | English |
| Year of first Publication: | 2026 |
| Release Date: | 2026/05/04 |
| Article Number: | 513 |
| Page Number: | 17 |
| Faculties / Organisational entities: | RPTU in Kaiserslautern / Fachbereich Maschinenbau und Verfahrenstechnik / Thermodynamik |
| Open access state: | Gold Open-Access |
| RPTU: | Kaiserslautern |
| Research funding: | DFG |
| Created at the RPTU: | Yes |