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  5. Diagnosis driven anomaly detection for cyber-physical systems

Diagnosis driven anomaly detection for cyber-physical systems

Publication date
2024-08-16
Document type
Konferenzbeitrag
Author
Steude, Henrik Sebastian  
Moddemann, Lukas  
Diedrich, Alexander  
Ehrhardt, Jonas  
Niggemann, Oliver  
Organisational unit
Informatik im Maschinenbau  
DTEC.bw  
DOI
10.1016/j.ifacol.2024.07.186
URI
https://openhsu.ub.hsu-hh.de/handle/10.24405/20489
Conference
12th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS 2024) ; Ferrara, Italy ; June 4–7, 2024
Project
Künstliche Intelligenz für die Diagnose der Internationalen Raumstation ISS  
Publisher
Elsevier
Series or journal
IFAC-PapersOnLine
ISSN
2405-8963
Periodical volume
58
Periodical issue
4
Last page
18
Peer-reviewed
✅
Part of the university bibliography
✅
Additional Information
Language
English
Keyword
dtec.bw
Description
This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0/).
Version
Published version
Access right on openHSU
Metadata only access

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