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  5. Automated anomaly detection and diagnosis of the environmental control system of the ISS
 
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Automated anomaly detection and diagnosis of the environmental control system of the ISS

Publication date
2022-12-23
Document type
Book part
Author
Moddemann, Lukas 
Steude, Henrik Sebastian 
Niggemann, Oliver 
Grashorn, Philipp
Organisational unit
Informatik im Maschinenbau 
DTEC.bw 
DOI
10.24405/14540
URI
https://openhsu.ub.hsu-hh.de/handle/10.24405/14540
Project
Künstliche Intelligenz für die Diagnose der Internationalen Raumstation ISS 
Publisher
Universitätsbibliothek der HSU/UniBw H
Book title
dtec.bw-Beiträge der Helmut-Schmidt-Universität / Universität der Bundeswehr Hamburg : Forschungsaktivitäten im Zentrum für Digitalisierungs- und Technologieforschung der Bundeswehr dtec.bw : Band 1, 2022
ISBN
978-3-86818-315-3
First page
123
Last page
128
Is part of
https://doi.org/10.24405/14522
Peer-reviewed
✅
Part of the university bibliography
✅
Files
 openHSU_14540.pdf (1.62 MB)
  • Additional Information
Language
English
DDC Class
500 Naturwissenschaften
620 Ingenieurwissenschaften
Keyword
dtec.bw
Machine learning
Anomaly detection
Cyber-physical systems
Diagnosis
Version
Published version
Access right on openHSU
Open access

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