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Decision support system (DSS) for rail maintenance in heavy haul line

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conference contribution
posted on 06.12.2017, 00:00 authored by Gopinath ChattopadhyayGopinath Chattopadhyay, Kakoli ChattopadhyayKakoli Chattopadhyay
Rail wear and rolling contact fatigue (RCF) in rails are major contributors of operational and maintenance cost in heavy haul lines. Collection of data, modelling degradation and estimation of parameter for failure models is necessary for accurate prediction of asset conditions. Failure to do so can lead to undetected rail breaks and unsafe track leading to derailments. There is a need for developing effective maintenance strategies for cost and risk reduction.This paper focuses on collection and analysis of field data over a period of time for maintenance cost model, estimation of parameter and decision support system applicable to heavy haul lines.

Funding

Category 4 - CRC Research Income

History

Start Page

281

End Page

288

Number of Pages

8

Start Date

01/01/2009

ISBN-13

9788493206468

Location

San Sebastian, Spain

Publisher

Fundaci n TEKNIKER

Place of Publication

Otaola, 20, 20600 Eibar

Peer Reviewed

Yes

Open Access

No

External Author Affiliations

Institute for Resource Industries and Sustainability (IRIS); Process Engineering and Light Metals;

Era Eligible

Yes

Name of Conference

International Congress on Condition Monitoring and Diagnostic Engineering Management