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e-Maintenance of Railway Assets Based on a Reliable Condition Prediction

Gutsche, Katja and Böhm, Thomas (2011) e-Maintenance of Railway Assets Based on a Reliable Condition Prediction. International Journal of Performability Engineering, Vol. 7 (6), pp. 573-582. RAMS Consultants. ISSN 0973-1318.

Full text not available from this repository.

Official URL: http://www.ijpe-online.com/november-2011-p7-e-maintenance-of-railway-assets-based-on-a-reliable-condition-prediction.html

Abstract

To ensure a strong position within the transport market sustainable economical decisions and the implementation of new methods and techniques for achieving higher process efficiency are necessary for the railway infrastructure managers. Starting from a primarily time scheduled maintenance an improvement of the rail infrastructure asset maintenance can contribute to this aim, especially when considering that maintenance is a cost driver in the operation of railway systems. e-Maintenance for railway infrastructure is such a concept. Implemented in a reliable way it gives the infrastructure managers a better idea about the asset condition, reduces the number of maintenance activities to be taken manually and therefore the risk for maintenance workers in the track bed. Mandatory for an efficient e-Maintenance concept is a reliable condition diagnosis and prediction.

Item URL in elib:https://elib.dlr.de/72706/
Document Type:Article
Title:e-Maintenance of Railway Assets Based on a Reliable Condition Prediction
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Gutsche, KatjaUNSPECIFIEDUNSPECIFIED
Böhm, ThomasUNSPECIFIEDUNSPECIFIED
Date:November 2011
Journal or Publication Title:International Journal of Performability Engineering
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:No
Volume:Vol. 7
Page Range:pp. 573-582
Editors:
EditorsEmailEditor's ORCID iD
Misra, Krishna B.UNSPECIFIEDUNSPECIFIED
Pecht, Michael G.UNSPECIFIEDUNSPECIFIED
Kapur, Kailash C.UNSPECIFIEDUNSPECIFIED
Publisher:RAMS Consultants
ISSN:0973-1318
Status:Published
Keywords:Railway infrastructure; condition prediction; data interpretation; signal analysis; railway switch; maintenance strategy
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:14 Dec 2011 16:31
Last Modified:07 Feb 2013 20:07

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