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Abnormality detection in event data and condition counters on Regina trains
RISE, Swedish ICT, SICS, Decisions, Networks and Analytics lab.ORCID iD: 0000-0001-8577-6745
RISE, Swedish ICT, SICS, Decisions, Networks and Analytics lab.ORCID iD: 0000-0002-7181-8411
2006 (English)In: The IETInternational Conference on Railway Condition Monitoring 2006, 2006, 1, , p. 4p. 53-56Conference paper, Published paper (Refereed)
Abstract [en]

The Regina trains, manufactured by Bombardier Transportation, contain software and hardware to generate as well condition data as event data that can be used to monitor the condition of the trains. In this paper we present the necessary equations for abnormality detection of both event data and condition counters in a general setting. The use of the equations is illustrated on authentic data from Regina trains.

Place, publisher, year, edition, pages
2006, 1. , p. 4p. 53-56
Keywords [en]
Condition monitoring, Statistical anomaly detection, Bayesian statistics.
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:ri:diva-23491OAI: oai:DiVA.org:ri-23491DiVA, id: diva2:1042567
Conference
Proceedings of the IET International Conference on Railway Condition Monitoring 2006 (RCM 2006), 29-30 November 2006, Birmingham, UK
Projects
TIDOPAvailable from: 2016-10-31 Created: 2016-10-31 Last updated: 2018-08-20Bibliographically approved

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Holst, AndersEkman, Jan

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