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Detecting anomalous behavior of railway switches under real operation conditions: workflow and implementation

Narezo Guzman, Daniela and Hadzic, Edin and Samson, Henk and van den Broek, Serge and Groos, Jörn Christoffer (2020) Detecting anomalous behavior of railway switches under real operation conditions: workflow and implementation. In: TRA 2020 conference proceedings. Transport Research Arena 2020, 27-30 April 2020, Helsinki, Finland.

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Abstract

Railway switches are crucial assets since they enable trains to change tracks without stopping. Larger parts of the infrastructure are compromised when certain switches fail. Regular inspections, maintenance and repairs are required to increase switch reliability, making them costly assets. Monitoring systems help determining the condition of assets. Nowadays nearly thousand switches in the Netherlands are remotely monitored by Strukton Rail. The current version of this monitoring system has helped to identify degrading and failing switches, but it also generates false alarms. There is room for improvement in how the monitoring system supports asset managers in making decisions regarding the asset. Here, we present a workflow that exploits switch monitoring data under real operation conditions. The running workflow implements a machine-learning model for automatic detection of anomalous switch functioning. Models for predicting switch degradation and failure evolution, and for identifying failure types are under development and remain to be implemented.

Item URL in elib:https://elib.dlr.de/132828/
Document Type:Conference or Workshop Item (Speech)
Title:Detecting anomalous behavior of railway switches under real operation conditions: workflow and implementation
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Narezo Guzman, DanielaDaniela.NarezoGuzman (at) dlr.dehttps://orcid.org/0000-0001-9748-1354
Hadzic, EdinEdin.Hadzic (at) strukton.comUNSPECIFIED
Samson, HenkUNSPECIFIEDUNSPECIFIED
van den Broek, SergeUNSPECIFIEDUNSPECIFIED
Groos, Jörn ChristofferJoern.Groos (at) dlr.dehttps://orcid.org/0000-0003-3871-0756
Date:2020
Journal or Publication Title:TRA 2020 conference proceedings
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Accepted
Keywords:intelligent systems; infrastructure; railway engineering; algorithms; asset management
Event Title:Transport Research Arena 2020
Event Location:Helsinki, Finland
Event Type:international Conference
Event Dates:27-30 April 2020
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
Location: Berlin-Adlershof
Institutes and Institutions:Institute of Transportation Systems > Bahntechnik
Deposited By: Narezo Guzman, Daniela
Deposited On:06 Jan 2020 08:58
Last Modified:06 Jan 2020 08:58

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