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Condition based maintenance of trains doors
RISE, Swedish ICT, SICS. IAM.
RISE, Swedish ICT, SICS. IAM.
RISE, Swedish ICT, SICS. IAM.
Number of Authors: 3
2011 (English)Report (Other academic)
Abstract [en]

As part of the project DUST financed by Vinnova, we have investigated whether event data generated on trains can be used for finding evidence of wear on train doors. We have compared the event data and maintenance reports relating to doors of Regina trains. Although some interesting relations were found, the overall result is that the information in event data about wear of doors is very limited.

Place, publisher, year, edition, pages
Kista, Sweden: Swedish Institute of Computer Science , 2011, 7.
Series
SICS Technical Report, ISSN 1100-3154 ; 2011:15
National Category
Computer and Information Science
Identifiers
URN: urn:nbn:se:ri:diva-24012OAI: oai:DiVA.org:ri-24012DiVA: diva2:1043091
Projects
DUST
Available from: 2016-10-31 Created: 2016-10-31

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File name FULLTEXT01.pdfFile size 126 kBChecksum SHA-512
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Type fulltextMimetype application/pdf

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