Iskalni niz:
išči po
išči po
išči po
išči po
Vrsta gradiva:
Jezik:
Št. zadetkov: 1
ǂAn ǂimproved MSCNN and GRU model for rolling bearing fault diagnosis
Teng Wang, Youfu Tang, Tao Wang, Na Lei
Izvirni znanstveni članek
Oznake: SENet;multiscale convolutional neural networks;gate recurrent unit;rolling bearings;fault diagnosis;
In this paper, a novel fault diagnosis method based on the fusion of squeeze and excitation-multiscale convolutional neural networks (SENet-MSCNN) and gate recurrent unit (GRU) is proposed to address the problem of low diagnosis rate caused by the fact that normal samples are much larger than fault ...
Leto: 2023 Vir: Fakulteta za strojništvo (UL FS)
Št. zadetkov: 1
Ključne besede:
Leto izdaje:
Avtorji:
Repozitorij:
Tipologija:
Jezik: