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Fault Diagnosis via Fusion of Information from a Case Stream
School of Innovation, Design and Engineering, Mälardalen University, Västerås , SICS Swedish ICT, Isafjordsgatan 22, Box 1263, SE-164 29 Kista, Sweden.
School of Innovation, Design and Engineering, Mälardalen University, Västerås.
Volvo Construction Equipment, Eskilstuna.
SICS Swedish ICT, Isafjordsgatan 22, Box 1263, SE-164 29 Kista, Sweden.
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2015 (English)In: Case-Based Reasoning Research and Development: 23rd International Conference, ICCBR 2015, Frankfurt am Main, Germany, September 28–30, 2015, Proceedings, Encyclopedia of Global Archaeology/Springer Verlag, 2015, p. 275-289Conference paper, Published paper (Refereed)
Abstract [en]

This paper presents a novel approach to fault diagnosis applied to a stream of cases. The approach uses a combination of casebased reasoning and information fusion to do classification. The approach consists of two steps. First, we perform local anomaly detection on-board a machine to identify anomalous individual cases. Then, we monitor the stream of anomalous cases using a stream anomaly detector based on a sliding window approach. When the stream anomaly detector identifies an anomalous window, the anomalous cases in the window are classified using a CBR classifier. Thereafter, the individual classifications are aggregated into a composite case with a single prediction using a information fusion method. We compare three information fusion approaches: simple majority vote, weighted majority vote and Dempster-Shafer fusion. As baseline for comparison, we use the classification of the last identified anomalous case in the window as the aggregated prediction

Place, publisher, year, edition, pages
Encyclopedia of Global Archaeology/Springer Verlag, 2015. p. 275-289
Series
Lecture Notes in Computer Science, ISSN 0302-9743 ; 9343
National Category
Other Mechanical Engineering
Research subject
Computer Aided Design
Identifiers
URN: urn:nbn:se:ltu:diva-34006DOI: 10.1007/978-3-319-24586-7_19Local ID: 8183c3bb-e5d7-4f67-ac2f-9898536feba5ISBN: 978-3-319-24585-0 (print)ISBN: 978-3-319-24586-7 (electronic)OAI: oai:DiVA.org:ltu-34006DiVA, id: diva2:1007255
Conference
International Conference on Case-Based Reasoning : ICCBR 2015 28/09/2015 - 30/09/2015
Projects
Fastelaboratoriet - VINNEXC
Note
Upprättat; 2015; 20150707 (eliibe)Available from: 2016-09-30 Created: 2016-09-30 Last updated: 2017-11-25Bibliographically approved

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CiteExportLink to record
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  • apa
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