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ML for Rocket Combustion Data

Rüttgers, Alexander and Petrarolo, Anna (2022) ML for Rocket Combustion Data. Helmholtz AI Platform Evaluation, 5.-7. Okt. 2022, 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:
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:October 2022
Refereed publication:No
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
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 Dates:5.-7. Okt. 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 for Software Technology > High-Performance Computing
Institute of Space Propulsion > Spacecraft and Orbital Propulsion
Institute for Software Technology
Deposited By: Rüttgers, Dr. Alexander
Deposited On:27 Oct 2022 11:56
Last Modified:27 Oct 2022 11:56

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