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Failure diagnostics on railway turnout systems using support vector machines
Fatih University.
Meliksah University, Kayseri.
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
2010 (English)In: Proceedings of the 1st international workshop and congress on eMaintenance, Luleå tekniska universitet, 2010, 248-251 p.Conference paper (Refereed)
Abstract [en]

Railway turnout systems are one of the most critical pieces of equipment in railway infrastructure. Early identification of failures in turnout systems is important to obtain increased availability and safety, and reduced operating & support cost. This paper aims to develop a method to identify „drive-rod out-ofadjustment‟ failure mode, one of the most frequently observed failure modes. Support Vector Machine with Gaussian kernel is used for classification. In addition, results of feature selection with statistical t-test and feature reduction with principal component analysis are compared in the paper.

Place, publisher, year, edition, pages
Luleå tekniska universitet, 2010. 248-251 p.
Research subject
Operation and Maintenance
URN: urn:nbn:se:ltu:diva-39300Local ID: df86fa50-af4a-11df-a707-000ea68e967bISBN: 978-91-7439-120-6 (PDF)OAI: diva2:1012810
International Workshop and Congress on eMaintenance : 22/06/2010 - 24/06/2010
Godkänd; 2010; 20100824 (ysko)Available from: 2016-10-03 Created: 2016-10-03Bibliographically approved

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