Mining Industrial Logs for System Level Insights

Zusammenfassung
Industrial systems are becoming more and more complex and expensive to operate. Companies are making considerable efforts to increase operational efficiency and eliminate unplanned downtime of their equipment. Condition monitoring has been applied to improve equipment availability and reliability. Most of the condition monitoring applications, however, focus on single components, not on entire systems. The objective of this research was to demonstrate that a combination of visual analytics and association rule mining can be successfully used in a condition monitoring context on system level.
  • Vollständige Referenz
  • BibTeX
Czora, S., Dix, M., Fromm, H., Klöpper, B. & Schmitz, B., (2017). Mining Industrial Logs for System Level Insights. In: Mitschang, B., Nicklas, D., Leymann, F., Schöning, H., Herschel, M., Teubner, J., Härder, T., Kopp, O. & Wieland, M. (Hrsg.), Datenbanksysteme für Business, Technologie und Web (BTW 2017) - Workshopband. Bonn: Gesellschaft für Informatik e.V.. (S. 57-64).
@inproceedings{mci/Czora2017,
author = {Czora, Sebastian AND Dix, Marcel AND Fromm, Hansjörg AND Klöpper, Benjamin AND Schmitz, Björn},
title = {Mining Industrial Logs for System Level Insights},
booktitle = {Datenbanksysteme für Business, Technologie und Web (BTW 2017) - Workshopband},
year = {2017},
editor = {Mitschang, Bernhard AND Nicklas, Daniela AND Leymann, Frank AND Schöning, Harald AND Herschel, Melanie AND Teubner, Jens AND Härder, Theo AND Kopp, Oliver AND Wieland, Matthias} ,
pages = { 57-64 },
publisher = {Gesellschaft für Informatik e.V.},
address = {Bonn}
}
DateienGroesseFormatAnzeige
paper06.pdf164.9Kb PDF Öffnen

Haben Sie fehlerhafte Angaben entdeckt? Sagen Sie uns Bescheid: Feedback abschicken

Mehr Information

ISBN: 978-3-88579-660-2
ISSN: 1617-5468
Datum: 2017
Sprache: en (en)
Typ: Text/Conference Paper
Sammlungen

Zur Langanzeige