Category knowledge-guided few-shot bearing fault diagnosis DOI
Feng Zhan, Lingkai Hu, Wenkai Huang

et al.

Engineering Applications of Artificial Intelligence, Journal Year: 2024, Volume and Issue: 139, P. 109489 - 109489

Published: Oct. 28, 2024

Language: Английский

Variable-Speed Bearing Fault Diagnosis Based on BDVMD, FRTSMFrBSIE, and Parameter-Optimized GRU-MHSA DOI Open Access
Jie Ma,

Wei Jun,

Qiao Li

et al.

Processes, Journal Year: 2025, Volume and Issue: 13(2), P. 498 - 498

Published: Feb. 11, 2025

To address the challenges of feature extraction and low classification accuracy in fault diagnosis variable-speed rolling bearings, this paper proposes an intelligent method based on bandwidth division variational mode decomposition (BDVMD), fractional domain time-shift multiscale Boltzmann-Shannon interaction entropy (FRTSMFrBSIE), parameter-optimized gated recurrent unit with multi-head self-attention (GRU-MHSA). First, BDVMD is introduced to decompose reconstruct signals, obtaining high-quality reconstructed signals. Next, FRTSMFrBSIE proposed calculate signals generate a dataset. Subsequently, improved dung beetle optimization (IDBO) algorithm applied optimize parameters GRU-MHSA model, adaptively determining its optimal configuration. Finally, dataset input into optimized model for classification, achieving 98.75%. Experiments conducted Ottawa bearing validate method, results demonstrate effectiveness superiority classification.

Language: Английский

Citations

0
A Non-local adaptive network for cross-domain intelligent fault diagnosis leveraging multi-source IOT data DOI
Hong Shao, Yongwen Tan, Jingbo Li

et al.

Signal Image and Video Processing, Journal Year: 2025, Volume and Issue: 19(4)

Published: Feb. 13, 2025

Language: Английский

Citations

0
Unlocking the power of knowledge for few-shot fault diagnosis: A review from a knowledge perspective DOI
Pei Ling Lai, Fan Zhang, Tianrui Li

et al.

Information Sciences, Journal Year: 2025, Volume and Issue: unknown, P. 121996 - 121996

Published: Feb. 1, 2025

Language: Английский

Citations

0
Channel attention residual transfer learning with LLM fine-tuning for few-shot fault diagnosis in autonomous underwater vehicle propellers DOI
Wenliao Du,

Xinlong Yu,

Zhen Guo

et al.

Ocean Engineering, Journal Year: 2025, Volume and Issue: 330, P. 121237 - 121237

Published: April 15, 2025

Language: Английский

Citations

0
MT-CDGAT: A multi-label diagnosis model for untrained planetary gearbox compound faults based on multi-task cross dynamic graph attention networks DOI
Lixiao Cao,

Yixu Wang,

Jimeng Li

et al.

Neurocomputing, Journal Year: 2025, Volume and Issue: unknown, P. 130307 - 130307

Published: April 1, 2025

Language: Английский

Citations

0
Category knowledge-guided few-shot bearing fault diagnosis DOI
Feng Zhan, Lingkai Hu, Wenkai Huang

et al.

Engineering Applications of Artificial Intelligence, Journal Year: 2024, Volume and Issue: 139, P. 109489 - 109489

Published: Oct. 28, 2024

Language: Английский

Citations

1