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Statistical anomaly detection for train fleets
Swedish Institute of Computer Science.
Mälardalens högskola, Akademin för innovation, design och teknik. (IS)ORCID-id: 0000-0003-1597-6738
Swedish Institute of Computer Science.
Bombardier Transportation.
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2012 (Engelska)Ingår i: Proceedings of the National Conference on Artificial Intelligence, vol. 3, 2012, 2012, s. 2217-2223Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]

We have developed a method for statistical anomaly detection which has been deployed in a tool for condition monitoring of train fleets. The tool is currently used by several railway operators over the world to inspect and visualize the occurrence of "event messages" generated on the trains. The anomaly detection component helps the operators to quickly find significant deviations from normal behavior and to detect early indications for possible problems. The savings in maintenance costs comes mainly from avoiding costly breakdowns, and have been estimated to several million Euros per year for the tool. In the long run, it is expected that maintenance costs can be reduced with between 5 and 10 % by using the tool.

Ort, förlag, år, upplaga, sidor
2012. s. 2217-2223
Nationell ämneskategori
Teknik och teknologier
Identifikatorer
URN: urn:nbn:se:mdh:diva-17454ISBN: 978-157735568-7 (tryckt)OAI: oai:DiVA.org:mdh-17454DiVA, id: diva2:579785
Konferens
26th AAAI Conference on Artificial Intelligence and the 24th Innovative Applications of Artificial Intelligence Conference, AAAI-12 / IAAI-12;Toronto, ON; 22 July 2012 through 26 July 2012
Tillgänglig från: 2012-12-20 Skapad: 2012-12-20 Senast uppdaterad: 2013-12-03Bibliografiskt granskad

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