Change search
ReferencesLink to record
Permanent link

Direct link
Anomaly detection using support vector machines on overhead contact wire
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
2013 (English)Conference paper, Presentation (Other academic)
Abstract [en]

This paper describes an anomaly detection method on the Overhead Contact Wire (OCW) in electrified railway system. The fundamental basic of contact wire is described. Their mechanical property and thermal property are discussed. The principle of the current collection through the overhead wire is described in brief. Some classical mechanic dynamic models between the pantograph and overhead contact wire are presented. Concentrating on the anomaly detection using vertical acceleration signal, this paper proposes a support vector regression based method to detect the anomaly detection on the surface of the overhead contact wire. The Support Vector Regression (SVR) is used to model the dependency between vertical acceleration and the other factor such as uplift, train speed, height of the wire. Correlation is used to find the significant factors which influence the vertical acceleration. The SVR model is used to de-trend the vertical acceleration signal. The statistical model is proposed to find the anomaly points on the contact wire.

Place, publisher, year, edition, pages
2013.
Research subject
Operation and Maintenance
Identifiers
URN: urn:nbn:se:ltu:diva-34187Local ID: 84fa7923-d37f-4f52-9339-8777505f9fabOAI: oai:DiVA.org:ltu-34187DiVA: diva2:1007437
Conference
International Intelligent Manufacturing Conference : 26/06/2013 - 27/06/2013
Note
Godkänd; 2013; 20130807 (yuafuq)Available from: 2016-09-30 Created: 2016-09-30Bibliographically approved

Open Access in DiVA

No full text

Search in DiVA

By author/editor
Fuqing, YuanKumar, Uday
By organisation
Operation, Maintenance and Acoustics

Search outside of DiVA

GoogleGoogle Scholar

Total: 8 hits
ReferencesLink to record
Permanent link

Direct link