Twins transformer: Cross-attention based two-branch transformer network for rotating bearing fault diagnosis-Reference-Cited by-同舟云学术

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Twins transformer: Cross-attention based two-branch transformer network for rotating bearing fault diagnosis

Published:2023-12 Issue: Volume:223 Page:113687
ISSN:0263-2241
Container-title:Measurement
language:en
Short-container-title:Measurement

Author:

Li Jie,Bao Yu,Liu WenXin,Ji PengXiang,Wang LeKang,Wang Zhongbing

Funder

Natural Science Foundation of Xuzhou Municipality

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Applied Mathematics,Electrical and Electronic Engineering,Condensed Matter Physics,Instrumentation

Reference33 articles.

1. B. Ping Cai, K. Hao, Z. Wang, C. Yang, X. Kong, Z. Liu, R. Ji, Y. Liu, Data-driven early fault diagnostic methodology of permanent magnet synchronousmotor, Expert Syst. Appl. 177 (2021) 115000. URL https://api.se-manticscholar.org/CorpusID:234821648.

2. A review on basic data-driven approaches for industrial process monitoring;Yin;IEEE Trans. Ind. Electron.,2014

3. Data-driven fault diagnosis for traction systems in high-speed trains: A survey, challenges, and perspectives;Chen;IEEE Trans. Intell. Transp. Syst.,2022

4. Q. Chen, G. L. Nicholson, J. Ye, C. Roberts, Fault diagnosis using discrete wavelet transform (dwt) and artificial neural network (ann) for a railway switch, 2020 Prognostics and Health Management Conference (PHM-Besancon) (2020) 67–71. URL https://api.semanti cscholar.org/CorpusID:219690170.

5. Diagnosis and classification of diesel engine components faults using time–frequency and machine learning Preprint submitted to Nuclear Physics B September 10, 2023 approach;Ramteke;J. Vib. Eng. Technol.,2021

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2. A Novel Transformer Network Based on Cross–Spatial Learning and Deformable Attention for Composite Fault Diagnosis of Agricultural Machinery Bearings;Agriculture;2024-08-18

3. Digital twin-driven attention-guided convolutional networks for intelligent fault diagnosis across different domains;Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture;2024-07-31

4. Gearbox Fault Diagnosis Method in Noisy Environments Based on Deep Residual Shrinkage Networks;Sensors;2024-07-17

5. Digital twin-driven discriminative graph learning networks for cross-domain bearing fault recognition;Computers & Industrial Engineering;2024-07

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