Efficient intelligent fault diagnosis method and graphical user interface development based on fusion of convolutional networks and vision transformers characteristics

Chaoquan Mo; Ke Huang; Houxin Ji; Wenhan Li; Kaibo Xu

doi:10.1038/s41598-025-88668-z

Efficient intelligent fault diagnosis method and graphical user interface development based on fusion of convolutional networks and vision transformers characteristics

C Chaoquan Mo K Ke Huang (Department of Endocrinology, Children’s Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health) H Houxin Ji W Wenhan Li K Kaibo Xu

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Article Details

Journal Scientific Reports

Volume / Issue Vol. 15, Issue 1

Published February 28, 2025

DOI 10.1038/s41598-025-88668-z

ISSN 2045-2322

Publisher Nature Portfolio

Journal Info

Scientific Reports

Nature Portfolio

ISSN: 2045-2322 Open Access Life Sciences

Authors (5)

C

Chaoquan Mo

K

Ke Huang

Department of Endocrinology, Children’s Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health

H

Houxin Ji

W

Wenhan Li

K

Kaibo Xu

Efficient intelligent fault diagnosis method and graphical user interface development based on fusion of convolutional networks and vision transformers characteristics

Article Details

Journal Info

Authors (5)

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