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Towards the automation of anomaly detection and integrated fault identification for railway switches in a real operational environment

Narezo Guzman, Daniela and Heusel, Judith and Weik, Norman and Reetz, Susanne and Buursma, Douwe and van den Berg, Arnout and Schrijver, Gerrit and Neumann, Thorsten and van den Broek, Serge and 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, 06.-10. Juni 2022, Birmingham, UK.

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Abstract

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.

Item URL in elib:https://elib.dlr.de/142156/
Document Type:Conference or Workshop Item (Speech)
Title:Towards the automation of anomaly detection and integrated fault identification for railway switches in a real operational environment
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Narezo Guzman, DanielaUNSPECIFIEDhttps://orcid.org/0000-0001-9748-1354
Heusel, JudithUNSPECIFIEDUNSPECIFIED
Weik, NormanUNSPECIFIEDhttps://orcid.org/0000-0002-5977-9958
Reetz, SusanneUNSPECIFIEDUNSPECIFIED
Buursma, DouweStrukton RailUNSPECIFIED
van den Berg, ArnoutStrukton RailUNSPECIFIED
Schrijver, GerritStrukton RailUNSPECIFIED
Neumann, ThorstenUNSPECIFIEDhttps://orcid.org/0000-0002-9236-0585
van den Broek, SergeStrukton RailUNSPECIFIED
Groos, Jörn ChristofferUNSPECIFIEDhttps://orcid.org/0000-0003-3871-0756
Date:31 January 2022
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:Condition-based maintenance, condition monitoring, inspection and detection, data analytics
Event Title:World Congress on Railway Research 2022
Event Location:Birmingham, UK
Event Type:international Conference
Event Dates:06.-10. Juni 2022
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Transport
HGF - Program Themes:Rail Transport
DLR - Research area:Transport
DLR - Program:V SC Schienenverkehr
DLR - Research theme (Project):V - Digitalisierung und Automatisierung des Bahnsystems, E - Condition Monitoring
Location: Berlin-Adlershof , Braunschweig
Institutes and Institutions:Institute of Transportation Systems
Institute of Transportation Systems > Information Gathering and Modelling, BA
Institute of Transportation Systems > Information Gathering and Modelling, BS
Institute of Transportation Systems > Design and Evaluation of Mobility Solutions, BS
Deposited By: Narezo Guzman, Daniela
Deposited On:18 Feb 2022 13:52
Last Modified:28 Oct 2022 13:02

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