CDTFAFN: A novel coarse-to-fine dual-scale time-frequency attention fusion network for machinery vibro-acoustic fault diagnosis-Reference-Cited by-同舟云学术

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CDTFAFN: A novel coarse-to-fine dual-scale time-frequency attention fusion network for machinery vibro-acoustic fault diagnosis

Published:2024-12 Issue: Volume:112 Page:102554
ISSN:1566-2535
Container-title:Information Fusion
language:en
Short-container-title:Information Fusion

Author:

Yan Xiaoan^ORCID,Jiang Dong,Xiang Ling,Xu Yadong,Wang Yulin

Publisher

Elsevier BV

Reference48 articles.

1. Information fusion for multi-scale data: survey and challenges;Zhang;Inf. Fusion,2023

2. Non-contact diagnosis for gearbox based on the fusion of multi-sensor heterogeneous data;Sun;Inf. Fusion,2023

3. Multisensor data fusion: a review of the state-of-the-art;Khaleghi;Inf. Fusion,2013

4. Multichannel fault diagnosis of wind turbine driving system using multivariate singular spectrum decomposition and improved Kolmogorov complexity;Yan;Renew. Energ.,2021

5. Multi-sensor data fusion using support vector machine for motor fault detection;Banerjee;Inform. Sciences,2012

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Compact convolutional transformers- generative adversarial network for compound fault diagnosis of industrial robot;Engineering Applications of Artificial Intelligence;2024-12

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