Adaptive single-source open domain generalization network: a novel physical information fusion framework for fault diagnosis based on physically embedded autoencoder and adaptive open-set feature separation.

[BibT_eX]

[DOI]

Feiyu Lu

Qingbin Tong

Adv. Eng. Informatics, 2025

Leveraging Heterophily in Spatial-Temporal Graphs for Multivariate Time-Series Forecasting.

[BibT_eX]

[DOI]

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Designing Specialized Two-Dimensional Graph Spectral Filters for Spatial-Temporal Graph Modeling.

[BibT_eX]

[DOI]

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Deep Multilayer Sparse Regularization Time- Varying Transfer Learning Networks With Dynamic Kullback-Leibler Divergence Weights for Mechanical Fault Diagnosis.

[BibT_eX]

[DOI]

IEEE Trans. Ind. Informatics, November, 2024

Deep Reconstruction Transfer Convolutional Neural Network for Rolling Bearing Fault Diagnosis.

[BibT_eX]

[DOI]

Sensors, April, 2024

DPICEN: Deep physical information consistency embedded network for bearing fault diagnosis under unknown domain.

[BibT_eX]

[DOI]

Reliab. Eng. Syst. Saf., 2024

Towards multi-scene learning: A novel cross-domain adaptation model based on sparse filter for traction motor bearing fault diagnosis in high-speed EMU.

[BibT_eX]

[DOI]

Adv. Eng. Informatics, 2024

Envelope spectrum neural network with adaptive domain weight harmonization for intelligent bearing fault diagnosis under cross-machine scenarios.

[BibT_eX]