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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
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
ISBN
978-3-86818-315-3
Project
Künstliche Intelligenz für die Diagnose der Internationalen Raumstation ISS 
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
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
DDC Class
500 Naturwissenschaften
620 Ingenieurwissenschaften
Keyword
dtec.bw
Machine learning
Anomaly detection
Cyber-physical systems
Diagnosis
Version
Not applicable (or unknown)
Access right on openHSU
Open access

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