Scalable Machine Learning to Analyze Rocket Combustion Data

Rüttgers, Alexander and Petrarolo, Anna (2023) Scalable Machine Learning to Analyze Rocket Combustion Data. SIAM Conference on Computational Science and Engineering (CSE23), 26. Feb. - 03. März 2023, Amsterdam, Niederlande.

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Item URL in elib:

https://elib.dlr.de/194559/

Document Type:

Conference or Workshop Item (Speech)

Title:

Scalable Machine Learning to Analyze 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:

March 2023

Refereed publication:

Yes

Open Access:

Yes

Gold Open Access:

In SCOPUS:

In ISI Web of Science:

Status:

Published

Keywords:

machine learning, high-performance data analytics, anomaly detection, rocket combustion

Event Title:

SIAM Conference on Computational Science and Engineering (CSE23)

Event Location:

Amsterdam, Niederlande

Event Type:

international Conference

Event Dates:

26. Feb. - 03. März 2023

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

Location:

Köln-Porz

Institutes and Institutions:

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

Deposited By:

Rüttgers, Dr. Alexander

Deposited On:

17 Apr 2023 10:09

Last Modified:

17 Apr 2023 10:09

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