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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