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Accuracy Improvement of Condition Diagnosis of Railway Switches via External Data Integration

Böhm, Thomas (2012) Accuracy Improvement of Condition Diagnosis of Railway Switches via External Data Integration. In: Proceedings of the Sixth European Workshop on Structural Health Monitoring, pp. 1550-1558. Deutsche Gesellschaft für Zerstörungsfreie Prüfung. Sixth European Workshop on Structural Health Monitoring, 03.-06. Jul. 2012, Dresden, Deutschland. ISBN 978-3-940283-41-2.

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A highly available infrastructure is a premise for capable railway operation of high quality. Therefore maintenance is necessary to keep railway infrastructure elements available. Especially switches are critical because they connect different tracks and allow a train to change its moving direction without stopping. Their inspection, maintenance and repair have been identified as a cost driver for infrastructure managers. The Institute of Transportation Systems in cooperation with the German Railways (DB AG) is exploring ways to apply a diagnostic and prognostic health management by monitoring the condition of switches and their degeneration process to reduce failures and thus maintenance costs. Due to the fact that switches are exposed to strong forces and sometimes extreme weather conditions, any sensor applied in the field has to be very reliable and robust. But such sensors are expensive. Additionally the railway operator has to prove a reactionless functionality to ensure that no safety issues arise from the monitoring and the corresponding data transmission (e.g. accidently repositioning of the switch leading to derailment or crash). There are only a few monitoring systems on the market that fulfil these requirements. Field experience has shown that none of them provides a satisfying accuracy in terms of failure diagnosis. This contribution compares the failures indicated by the system with the actual failures that have occurred using ROC-Curves as a measurement. These inaccuracies result from several external parameters influencing the switch condition, hence producing noise in the measurement. These parameters and how they are measured without additional sensors are explained. It is shown how external data sources are integrated and used to reduce the noise. This involves a combination of data mining methods like linear regression and k-Means clustering. The resulting improvement of the diagnostic accuracy is then expressed using ROC-Curves as a primary measure.

Item URL in elib:https://elib.dlr.de/76341/
Document Type:Conference or Workshop Item (Paper)
Title:Accuracy Improvement of Condition Diagnosis of Railway Switches via External Data Integration
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Böhm, Thomasthomas.boehm (at) dlr.deUNSPECIFIED
Date:July 2012
Journal or Publication Title:Proceedings of the Sixth European Workshop on Structural Health Monitoring
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In ISI Web of Science:No
Page Range:pp. 1550-1558
EditorsEmailEditor's ORCID iD
Publisher:Deutsche Gesellschaft für Zerstörungsfreie Prüfung
Keywords:Condition monitoring; diagnosis; switch mechanism
Event Title:Sixth European Workshop on Structural Health Monitoring
Event Location:Dresden, Deutschland
Event Type:international Conference
Event Dates:03.-06. Jul. 2012
Organizer:Deutsche Gesellschaft für Zerstörungsfreie Prüfung e.V.
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Transport
HGF - Program Themes:Traffic Management (old)
DLR - Research area:Transport
DLR - Program:V VM - Verkehrsmanagement
DLR - Research theme (Project):V - Next Generation Railway System (old)
Location: Braunschweig
Institutes and Institutions:Institute of Transportation Systems > Railway System
Deposited By: Böhm, Thomas
Deposited On:13 Jul 2012 14:03
Last Modified:13 Jul 2012 14:03

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