Narezo Guzman, Daniela und Heusel, Judith und Weik, Norman und Reetz, Susanne und Buursma, Douwe und van den Berg, Arnout und Schrijver, Gerrit und Neumann, Thorsten und van den Broek, Serge und Groos, Jörn Christoffer (2022) Towards the automation of anomaly detection and integrated fault identification for railway switches in a real operational environment. World Congress on Railway Research 2022, 2022-06-06 - 2022-06-10, Birmingham, UK.
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Kurzfassung
We report on the latest developments regarding automatic anomaly detection and fault diagnosis for railway switches achieved in the context of the EU Shift2Rail project In2Smart2. This paper presents improvements regarding the interpretability of the output of a data-driven anomaly detection routine, thereby increasing its usability for maintenance engineers. Warning messages are generated by a new module in case certain critical engine failure types are detected or additional information on detected anomalies is available. Further developments in the diagnostic model brought it to a state in which it is ready for a first plausibility check under supervision of maintenance experts. Taken together, these developments are an important step towards the integration of anomaly detection and diagnosis into a comprehensive condition monitoring system. The advances have recently been or are projected to be implemented in an upgrade of the workflow running in near real-time at the maintenance control center of Strukton Rail, in the Netherlands. This paper gives an overview of the workflow which includes the new warning module, the extended anomaly detection pipeline, and how the diagnostic model is to be conceptually embedded, i.e. its interactions with the other modules. Moreover, methodological improvements, e.g., in data preprocessing for feature extraction and warning generation, are also described.
elib-URL des Eintrags: | https://elib.dlr.de/142156/ | ||||||||||||||||||||||||||||||||||||||||||||
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Dokumentart: | Konferenzbeitrag (Vortrag) | ||||||||||||||||||||||||||||||||||||||||||||
Titel: | Towards the automation of anomaly detection and integrated fault identification for railway switches in a real operational environment | ||||||||||||||||||||||||||||||||||||||||||||
Autoren: |
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Datum: | 31 Januar 2022 | ||||||||||||||||||||||||||||||||||||||||||||
Referierte Publikation: | Ja | ||||||||||||||||||||||||||||||||||||||||||||
Open Access: | Ja | ||||||||||||||||||||||||||||||||||||||||||||
Gold Open Access: | Nein | ||||||||||||||||||||||||||||||||||||||||||||
In SCOPUS: | Nein | ||||||||||||||||||||||||||||||||||||||||||||
In ISI Web of Science: | Nein | ||||||||||||||||||||||||||||||||||||||||||||
Status: | veröffentlicht | ||||||||||||||||||||||||||||||||||||||||||||
Stichwörter: | Condition-based maintenance, condition monitoring, inspection and detection, data analytics | ||||||||||||||||||||||||||||||||||||||||||||
Veranstaltungstitel: | World Congress on Railway Research 2022 | ||||||||||||||||||||||||||||||||||||||||||||
Veranstaltungsort: | Birmingham, UK | ||||||||||||||||||||||||||||||||||||||||||||
Veranstaltungsart: | internationale Konferenz | ||||||||||||||||||||||||||||||||||||||||||||
Veranstaltungsbeginn: | 6 Juni 2022 | ||||||||||||||||||||||||||||||||||||||||||||
Veranstaltungsende: | 10 Juni 2022 | ||||||||||||||||||||||||||||||||||||||||||||
HGF - Forschungsbereich: | Luftfahrt, Raumfahrt und Verkehr | ||||||||||||||||||||||||||||||||||||||||||||
HGF - Programm: | Verkehr | ||||||||||||||||||||||||||||||||||||||||||||
HGF - Programmthema: | Schienenverkehr | ||||||||||||||||||||||||||||||||||||||||||||
DLR - Schwerpunkt: | Verkehr | ||||||||||||||||||||||||||||||||||||||||||||
DLR - Forschungsgebiet: | V SC Schienenverkehr | ||||||||||||||||||||||||||||||||||||||||||||
DLR - Teilgebiet (Projekt, Vorhaben): | V - Digitalisierung und Automatisierung des Bahnsystems (alt), E - Condition Monitoring | ||||||||||||||||||||||||||||||||||||||||||||
Standort: | Berlin-Adlershof , Braunschweig | ||||||||||||||||||||||||||||||||||||||||||||
Institute & Einrichtungen: | Institut für Verkehrssystemtechnik Institut für Verkehrssystemtechnik > Informationsgewinnung und Modellierung, BA Institut für Verkehrssystemtechnik > Informationsgewinnung und Modellierung, BS Institut für Verkehrssystemtechnik > Design & Bewertung von Mobilitätslösungen, BS | ||||||||||||||||||||||||||||||||||||||||||||
Hinterlegt von: | Narezo Guzman, Daniela | ||||||||||||||||||||||||||||||||||||||||||||
Hinterlegt am: | 18 Feb 2022 13:52 | ||||||||||||||||||||||||||||||||||||||||||||
Letzte Änderung: | 24 Apr 2024 20:42 |
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