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Bearing Fault Diagnosis Based on Multi-Scale CNN and Bidirectional GRU

dc.contributor.authorSaghi, Taher
dc.contributor.authorBustan, Danyal
dc.contributor.authorAphale, Sumeet S.
dc.date.accessioned2023-09-14T23:13:07Z
dc.date.available2023-09-14T23:13:07Z
dc.date.issued2023
dc.identifier225161441
dc.identifier43eab079-daba-4e7b-91ba-29ef0c4fde1d
dc.identifier85151165457
dc.identifier.citationSaghi , T , Bustan , D & Aphale , S S 2023 , ' Bearing Fault Diagnosis Based on Multi-Scale CNN and Bidirectional GRU ' , Vibration , vol. 6 , no. 1 , pp. 11-28 . https://doi.org/10.3390/vibration6010002en
dc.identifier.issn2571-631X
dc.identifier.otherORCID: /0000-0002-1691-1648/work/125808139
dc.identifier.urihttp://aura-test.abdn.ac.uk/handle/2164/19790
dc.descriptionThis research received no external funding.en
dc.format.extent18
dc.format.extent3801808
dc.language.isoeng
dc.relation.ispartofVibrationen
dc.subjectbearing fault diagnosisen
dc.subjectmulti-scaleen
dc.subjectconvolutional neural networken
dc.subjectbidirectional GRUen
dc.subjectTA Engineering (General). Civil engineering (General)en
dc.subject.lccTAen
dc.titleBearing Fault Diagnosis Based on Multi-Scale CNN and Bidirectional GRUen
dc.typeJournal articleen
dc.contributor.institutionUniversity of Aberdeen.Aberdeen HVDC Research Centreen
dc.contributor.institutionUniversity of Aberdeen.Engineeringen
dc.contributor.institutionUniversity of Aberdeen.Centre for Applied Dynamics Research (CADR)en
dc.description.statusPeer revieweden
dc.identifier.doihttps://doi.org/10.3390/vibration6010002
dc.identifier.vol6en
dc.identifier.iss1en


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