Dutschk, Beate und Groos, Jörn Christoffer und Hadzic, Edin und Böhm, Thomas (2017) Deeper insight in railway switch condition nowcasting. In: 1st World Congress on Condition Monitoring 2017, WCCM 2017. British Institute of Non-Destructive Testing. WCCM 2017 - 1st World Congress on Condition Monitoring, 2017-06-13 - 2017-06-16, London. ISBN 978-090313264-8.
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Kurzfassung
Railway switches are a crucial part of the railway system but prone to failures. Nowadays a common approach to monitor switches with electrical engines is to measure the current consumption of the switch's engine. Since this measurement principle is valid for creating raw data, effort is put into improving the evaluation of the current graph for monitoring the condition of switches. This aims to improve data analysis techniques for a well-functioning and reliable railway system avoiding unnecessary train delays due to switch failures. In this work unsupervised data mining techniques are investigated as a basis for the prospective step to condition based prognostics with a deeper understanding of the characteristics of the current graph and their meaning. Therefore different features and various combinations are explored as well. Learning from historic data and gaining knowledge is essential for further improvement and is combined with domain knowledge. This work aims to detect anomalies and failures from the current graph to prospectively identify degradation, avoid potential false alerts and switch malfunctions. It also enables a step towards supporting maintenance with better and more efficient maintenance plans, more reliable and understandable switch condition monitoring and builds a fundament to predictive maintenance.
elib-URL des Eintrags: | https://elib.dlr.de/123162/ | ||||||||||||||||||||
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Dokumentart: | Konferenzbeitrag (Vortrag) | ||||||||||||||||||||
Titel: | Deeper insight in railway switch condition nowcasting | ||||||||||||||||||||
Autoren: |
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Datum: | Juni 2017 | ||||||||||||||||||||
Erschienen in: | 1st World Congress on Condition Monitoring 2017, WCCM 2017 | ||||||||||||||||||||
Referierte Publikation: | Ja | ||||||||||||||||||||
Open Access: | Nein | ||||||||||||||||||||
Gold Open Access: | Nein | ||||||||||||||||||||
In SCOPUS: | Ja | ||||||||||||||||||||
In ISI Web of Science: | Nein | ||||||||||||||||||||
Verlag: | British Institute of Non-Destructive Testing | ||||||||||||||||||||
ISBN: | 978-090313264-8 | ||||||||||||||||||||
Status: | veröffentlicht | ||||||||||||||||||||
Stichwörter: | Railway Switch condition monitoring data analysis | ||||||||||||||||||||
Veranstaltungstitel: | WCCM 2017 - 1st World Congress on Condition Monitoring | ||||||||||||||||||||
Veranstaltungsort: | London | ||||||||||||||||||||
Veranstaltungsart: | internationale Konferenz | ||||||||||||||||||||
Veranstaltungsbeginn: | 13 Juni 2017 | ||||||||||||||||||||
Veranstaltungsende: | 16 Juni 2017 | ||||||||||||||||||||
Veranstalter : | The British Institute of Non-Destructive Testing | ||||||||||||||||||||
HGF - Forschungsbereich: | Luftfahrt, Raumfahrt und Verkehr | ||||||||||||||||||||
HGF - Programm: | Verkehr | ||||||||||||||||||||
HGF - Programmthema: | Verkehrsmanagement (alt) | ||||||||||||||||||||
DLR - Schwerpunkt: | Verkehr | ||||||||||||||||||||
DLR - Forschungsgebiet: | V VM - Verkehrsmanagement | ||||||||||||||||||||
DLR - Teilgebiet (Projekt, Vorhaben): | V - Next Generation Railway Systems III (alt) | ||||||||||||||||||||
Standort: | Braunschweig | ||||||||||||||||||||
Institute & Einrichtungen: | Institut für Verkehrssystemtechnik Institut für Verkehrssystemtechnik > Bahnsysteme | ||||||||||||||||||||
Hinterlegt von: | Groos, Jörn Christoffer | ||||||||||||||||||||
Hinterlegt am: | 23 Nov 2018 08:05 | ||||||||||||||||||||
Letzte Änderung: | 24 Apr 2024 20:27 |
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