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Local Anomaly Detection in Rocket Fuel Combustion Data

Rüttgers, Alexander and Petrarolo, Anna and Steffens, Lars (2020) Local Anomaly Detection in Rocket Fuel Combustion Data. WAW Machine Learning 6, 27.-29.10.2020, Jena, Deutschland.

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Item URL in elib:https://elib.dlr.de/137884/
Document Type:Conference or Workshop Item (Speech)
Title:Local Anomaly Detection in Rocket Fuel 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
Steffens, LarsLars.Steffens (at) dlr.dehttps://orcid.org/0000-0002-2561-0687
Date:2020
Refereed publication:No
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:anomaly detection, rocket combustion data, local outlier factor
Event Title:WAW Machine Learning 6
Event Location:Jena, Deutschland
Event Type:Workshop
Event Dates:27.-29.10.2020
Organizer:Institut für Datenwissenschaften
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 - Vorhaben SISTEC (old)
Location: Köln-Porz
Institutes and Institutions:Institut of Simulation and Software Technology
Institut of Simulation and Software Technology > High Performance Computing
Deposited By: Rüttgers, Dr. Alexander
Deposited On:23 Nov 2020 09:30
Last Modified:12 Jan 2021 17:29

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