Deep Anomaly Detection on Tennessee Eastman Process Data
Dokumenttyp:
Zeitschriftenaufsatz
Autor(en):
Hartung, Fabian ; Franks, Billy Joe ; Michels, Tobias ; Wagner, Dennis ; Liznerski, Philipp ; Reithermann, Steffen ; Fellenz, Sophie ; Jirasek, Fabian ; Rudolph, Maja ; Neider, Daniel ; Leitte, Heike ; Song, Chen ; Kloepper, Benjamin ; Mandt, Stephan ; Bortz, Michael ; Burger, Jakob ; Hasse, Hans ; Kloft, Marius
Stichworte:
Research Article ; Research Articles ; Anomaly detection ; Benchmark ; Chemical process data ; Tennessee Eastman process ; Time series
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