Multi-branch global Transformer‐assisted network for fault diagnosis

Fault Diagnosis (FD) is critical in smart manufacturing, enabling predictive maintenance, reducing operational costs, and enhancing system reliability. To deal with this task more accurately, this paper proposes a generative, effective, and novel framework, a multi-branch global Transformer-assisted...

Full description

Saved in:

Bibliographic Details
Published in:	Applied soft computing Vol. 182; p. 113572
Main Authors:	Shao, Xiaorui, Kim, Chang-Soo
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.10.2025
Subjects:	1DCNN Fault diagnosis multi-supervised algorithm multi-view global features Transformer LN PV TAS MHA DSMT-1DCNN multi-view global features DL-MSCNN RNN MBGTNet FFT DWT WARS WDCNNProposed IR GMP RF FD MSCNN WDCNN ANN Transformer CORAL GFC LFCS SVM BN SA AWF Fault diagnosis 2DCNN NLP CBAM SNR ACEL ProposedWo-MSS multi-supervised algorithm ViT CWT 1DCNN CE SU LSTM OR ProposedWo-LFCS MBLF MSS MGF CNN-LSTMProposed WSCNN-GMPProposed MBG-WideConv1D MFPT MSCNN-LSTMPropsoed CNNCombine DB
ISSN:	1568-4946
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!