AHFormer: Hypergraph embedding coding transformer and adaptive aggregation network for intelligent fault diagnosis under noise interference-Reference-Cited by-同舟云学术

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AHFormer: Hypergraph embedding coding transformer and adaptive aggregation network for intelligent fault diagnosis under noise interference

Published:2024-08 Issue: Volume:61 Page:102518
ISSN:1474-0346
Container-title:Advanced Engineering Informatics
language:en
Short-container-title:Advanced Engineering Informatics

Author:

Lei Fangyuan^ORCID,Chen Ziwei,Luo Xiangmin,Xu Long,Xue Te,Jiang Jianjian

Publisher

Elsevier BV

Reference41 articles.

1. WaveletKernelNet: An interpretable deep neural network for industrial intelligent diagnosis;Li;IEEE Trans. Syst. Man Cybern. Syst.,2022

2. Deep focus parallel convolutional neural network for imbalanced classification of machinery fault diagnostics;Duan;IEEE Trans. Instrum. Meas.,2020

3. Deep learning algorithms for rotating machinery intelligent diagnosis: An open source benchmark study;Zhao;ISA Trans.,2020

4. Semi-supervised graph convolutional network and its application in intelligent fault diagnosis of rotating machinery;Gao;Measurement,2021

5. Intelligent acoustic-based fault diagnosis of roller bearings using a deep graph convolutional network;Zhang;Measurement,2020

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