LTFM-net framework: Advanced intelligent diagnostics and interpretability of insulated bearing faults in offshore wind turbines under complex operational conditions-Reference-Cited by-同舟云学术

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LTFM-net framework: Advanced intelligent diagnostics and interpretability of insulated bearing faults in offshore wind turbines under complex operational conditions

Published:2024-10 Issue: Volume:309 Page:118533
ISSN:0029-8018
Container-title:Ocean Engineering
language:en
Short-container-title:Ocean Engineering

Author:

Yang Tongguang^ORCID,Jiang Lingli,Guo Yufei,Han Qingkai,Li Xuejun

Publisher

Elsevier BV

Reference40 articles.

1. Flow field distribution and structural strength performance evaluation of fixed offshore wind turbine based on digital twin technology;Cao;Ocean. Eng.,2023

2. Fault diagnosis of offshore wind turbines based on component separable synchroextracting transform;Cui;Ocean. Eng.,2024

3. An expeditious algorithm for identification and classification of rotor faults in salient Pole synchronous generators;Ehya;IEEE Trans. Ind. Electron.,2024

4. You can get smaller: a lightweight self-activation convolution unit modified by transformer for fault diagnosis;Fang;Adv. Eng. Inf.,2023

5. Fault detection and diagnosis in electric motors using 1d convolutional neural networks with multi-channel vibration signals;Francis Ribeiro Junior;Measurement,2022

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