An improved MSCNN and GRU model for rolling bearing fault diagnosis

URN:NBN:SI:doc-F9M350BQ2023Lei, NaTang, YoufuWang, TaoWang, Tengdocuments/doc/F/URN_NBN_SI_doc-F9M350BQ_001.pdfdocuments/doc/F/URN_NBN_SI_doc-F9M350BQ_001.txt5/669articlestr. 261-2740039-248010.5545/sv-jme.2022.459154984707URN:NBN:SI:doc-F9M350BQengZveza strojnih inženirjev in tehnikov Slovenije etc.Strojniški vestnikInCdiagnosticiranje napakfault diagnosisgate recurrent unitGRUkotalni ležajiMSCNNmultiscale convolutional neural networksrolling bearingsSENetAn improved MSCNN and GRU model for rolling bearing fault diagnosis