User: Guest  Login
If you experience problems opening the document, please try this link.
Title:

Deep Anomaly Detection on Tennessee Eastman Process Data

Document type:
Zeitschriftenaufsatz
Author(s):
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
Keywords:
Research Article ; Research Articles ; Anomaly detection ; Benchmark ; Chemical process data ; Tennessee Eastman process ; Time series
Journal title:
Chemie Ingenieur Technik
Year:
2023
Journal volume:
95
Journal issue:
7
Pages contribution:
1077-1082
Fulltext / DOI:
doi:10.1002/cite.202200238
E-ISSN:
0009-286X ; 1522-2640
Date of publication:
13.04.2023
 BibTeX