Publication:

Transfer Learning for Anomaly Detection Using Bearings' Vibration Signals

Date

2023
Journal article
https://doi.org/10.20855/ijav.2023.28.41993
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dc.contributor.authorNieves Avendano, Diego
dc.contributor.authorDeschrijver, Dirk
dc.contributor.authorVan Hoecke, Sofie
dc.contributor.imecauthorDeschrijver, Dirk
dc.contributor.imecauthorVan Hoecke, Sofie
dc.contributor.imecauthorNieves Avendano, Diego
dc.contributor.orcidimecDeschrijver, Dirk::0000-0001-6600-1792
dc.contributor.orcidimecVan Hoecke, Sofie::0000-0002-7865-6793
dc.contributor.orcidimecNieves Avendano, Diego::0000-0001-6215-6439
dc.date.accessioned2024-03-19T09:15:57Z
dc.date.available2024-03-09T17:21:46Z
dc.date.available2024-03-11T10:54:33Z
dc.date.available2024-03-19T09:15:57Z
dc.date.embargo2023-12-04
dc.date.issued2023
dc.description.wosFundingTextThe authors would like to thank Bram Robberechts for per- forming the tests within the Smart Maintenance Living Lab project. Funding This work was supported by the Flemish Government under the "Onderzoeksprogramma Artificiele In- telligentie (AI) Vlaanderen" programme and the VLAIO subsidies for research.
dc.identifier.doi10.20855/ijav.2023.28.41993
dc.identifier.issn1027-5851
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/43661
dc.publisherINT INST ACOUSTICS & VIBRATION
dc.source.beginpage420
dc.source.endpage434
dc.source.issue4
dc.source.journalINTERNATIONAL JOURNAL OF ACOUSTICS AND VIBRATION
dc.source.numberofpages15
dc.source.volume28
dc.subject.keywordsFAULT-DIAGNOSIS METHOD
dc.subject.keywordsNEURAL-NETWORK
dc.subject.keywordsRESIDUAL LIFE
dc.subject.keywordsPREDICTIONS
dc.title

Transfer Learning for Anomaly Detection Using Bearings' Vibration Signals

dc.typeJournal article
dspace.entity.typePublication
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