ML for Rocket Combustion Data

Rüttgers, Alexander and Petrarolo, Anna (2022) ML for Rocket Combustion Data. Helmholtz AI Platform Evaluation, 2022-10-05 - 2022-10-07, München, Deutschland.

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Item URL in elib:

https://elib.dlr.de/188695/

Document Type:

Conference or Workshop Item (Poster)

Title:

ML for Rocket Combustion Data

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:

October 2022

Refereed publication:

Open Access:

Yes

Gold Open Access:

In SCOPUS:

In ISI Web of Science:

Status:

Published

Keywords:

Hybrid rocket, machine learning, clustering, anomaly detection, high-performance computing

Event Title:

Helmholtz AI Platform Evaluation

Event Location:

München, Deutschland

Event Type:

Workshop

Event Start Date:

5 October 2022

Event End Date:

7 October 2022

Organizer:

Helmholtz-Gemeinschaft

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 - Tasks SISTEC, R - Artificial Intelligence

Location:

Köln-Porz

Institutes and Institutions:

Institute of Software Technology > High-Performance Computing
Institute of Space Propulsion > Spacecraft and Orbital Propulsion
Institute of Software Technology

Deposited By:

Rüttgers, Dr. Alexander

Deposited On:

27 Oct 2022 11:56

Last Modified:

24 Apr 2024 20:50

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