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  5. Extracting knowledge using machine learning for anomaly detection and root-cause diagnosis

Extracting knowledge using machine learning for anomaly detection and root-cause diagnosis

Publication date
2024-10-16
Document type
Konferenzbeitrag
Author
Moddemann, Lukas  
Steude, Henrik Sebastian  
Diedrich, Alexander  
Pill, Ingo
Niggemann, Oliver  
Organisational unit
Informatik im Maschinenbau  
DTEC.bw  
URI
https://openhsu.ub.hsu-hh.de/handle/10.24405/20488
Conference
29th International Conference on Emerging Technologies and Factory Automation (ETFA 2024) ; Padova, Italy ; September 10–13, 204
Project
Künstliche Intelligenz für die Diagnose der Internationalen Raumstation ISS  
Publisher
IEEE
Book title
2024 IEEE 29th International Conference on Emerging Technologies and Factory Automation (ETFA)
ISBN
979-8-3503-6123-0
Peer-reviewed
✅
Part of the university bibliography
✅
Additional Information
Language
English
Keyword
dtec.bw
Version
Published version
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Metadata only access

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