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Rüttgers, Alexander and Petrarolo, Anna (2021) Local anomaly detection in hybrid rocket combustion tests. Experiments in Fluids. Springer. doi: 10.1007/s00348-021-03236-1. ISSN 0723-4864.
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| Item URL in elib: | https://elib.dlr.de/142736/ | |||||||||
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| Document Type: | Article | |||||||||
| Title: | Local anomaly detection in hybrid rocket combustion tests | |||||||||
| Authors: |
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| Date: | 12 June 2021 | |||||||||
| Journal or Publication Title: | Experiments in Fluids | |||||||||
| Refereed publication: | No | |||||||||
| Open Access: | Yes | |||||||||
| Gold Open Access: | No | |||||||||
| In SCOPUS: | Yes | |||||||||
| In ISI Web of Science: | Yes | |||||||||
| DOI : | 10.1007/s00348-021-03236-1 | |||||||||
| Publisher: | Springer | |||||||||
| ISSN: | 0723-4864 | |||||||||
| Status: | Published | |||||||||
| Keywords: | hybrid rocket, combustion, anomaly detection, machine learning, data mining | |||||||||
| HGF - Research field: | Aeronautics, Space and Transport | |||||||||
| HGF - Program: | Space | |||||||||
| HGF - Program Themes: | Space System Technology | |||||||||
| DLR - Research area: | Raumfahrt | |||||||||
| DLR - Program: | R SY - Space System Technology | |||||||||
| DLR - Research theme (Project): | R - Project Big Data Platform [SY] | |||||||||
| Location: | Köln-Porz | |||||||||
| Institutes and Institutions: | Institut of Simulation and Software Technology > High Performance Computing Institut of Simulation and Software Technology Institute of Space Propulsion > Spacecraft and Orbital Propulsion Institute of Space Propulsion Institute for Software Technology Institute for Software Technology > High-Performance Computing | |||||||||
| Deposited By: | Rüttgers, Dr. Alexander | |||||||||
| Deposited On: | 21 Jun 2021 08:40 | |||||||||
| Last Modified: | 31 Jan 2022 15:42 |
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