Cross-modal zero-sample diagnosis framework utilizing non-contact sensing data fusion-Reference-Cited by-同舟云学术

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Cross-modal zero-sample diagnosis framework utilizing non-contact sensing data fusion

Published:2024-10 Issue: Volume:110 Page:102453
ISSN:1566-2535
Container-title:Information Fusion
language:en
Short-container-title:Information Fusion

Author:

Li Sheng,Feng Ke^ORCID,Xu Yadong,Li Yongbo,Ni Qing,Zhang Ke,Wang Yulin,Ding Weiping

Publisher

Elsevier BV

Reference49 articles.

1. A review of vibration-based gear wear monitoring and prediction techniques;Feng;Mech. Syst. Signal Proc.,2023

2. Bearing defect identification by swarm decomposition considering permutation entropy measure and opposition-based slime mould algorithm;Vashishtha;Measurement,2021

3. An intelligent fault diagnosis for machine maintenance using weighted soft-voting rule based multi-attention module with multi-scale information fusion;Xu;Inform. Fusion,2022

4. IFD-MDCN: multibranch denoising convolutional networks with improved flow direction strategy for intelligent fault diagnosis of rolling bearings under noisy conditions;Li;Reliab. Eng. Syst. Safe.,2023

5. Attention gate guided multiscale recursive fusion strategy for deep neural network-based fault diagnosis;Zhang;Eng. Appl. Artif. Intel.,2023

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