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Condition Based Maintenance on Rail Vehicles - Possibilities for a more effective maintenance strategy
Mälardalens högskola, Akademin för innovation, design och teknik.ORCID-id: 0000-0002-0729-0122
2003 (engelsk)Rapport (Annet vitenskapelig)
Abstract [en]

Today, the Swedish industry is budgeting billions in maintenance related costs on a yearly basis. The high costs come from productivity losses due to low availability. With condition based maintenance the maintenance intervals will be a lot more dynamic and no actions will be done unnecessarily. Sensor technology makes it possible to monitor an assets most important components. Different Artificial Intelligence techniques make it possible to analyze the measured data. With process knowledge of the monitored asset the analysis will show whether maintenance actions need to be performed or not. The condition based maintenance approach has been tried successfully on different engineering industries; now, the time has come to rail vehicles.

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2003.
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URN: urn:nbn:se:mdh:diva-9319OAI: oai:DiVA.org:mdh-9319DiVA, id: diva2:301893
Tilgjengelig fra: 2010-03-03 Laget: 2010-03-03 Sist oppdatert: 2015-07-30bibliografisk kontrollert

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http://www.ipr.mdh.se/pdf_publications/1756.pdf

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