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 Nature. doi: 10.1007/s00348-021-03236-1. ISSN 0723-4864.

PDF - Published version
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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:

Authors	Institution or Email of Authors	Author's ORCID iD	ORCID Put Code
Rüttgers, Alexander	UNSPECIFIED	https://orcid.org/0000-0001-6347-9272	UNSPECIFIED
Petrarolo, Anna	UNSPECIFIED	https://orcid.org/0000-0002-2291-2874	UNSPECIFIED

Date:

12 June 2021

Journal or Publication Title:

Experiments in Fluids

Refereed publication:

Open Access:

Yes

Gold Open Access:

In SCOPUS:

Yes

In ISI Web of Science:

Yes

DOI:

10.1007/s00348-021-03236-1

Publisher:

Springer Nature

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:

12 May 2023 13:06

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