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Local anomaly detection in hybrid rocket combustion tests

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/
Document Type:Article
Title:Local anomaly detection in hybrid rocket combustion tests
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Rüttgers, AlexanderAlexander.Ruettgers (at) dlr.dehttps://orcid.org/0000-0001-6347-9272
Petrarolo, AnnaAnna.Petrarolo (at) dlr.dehttps://orcid.org/0000-0002-2291-2874
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:24 May 2022 23:47

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