Lijie Zhang
Orcid: 0000-0002-8399-5781Affiliations:
- Yanshan University, School of Mechanical Engineering, Qinhuangdao, China
- Hebei Agricultural University, School of Mechatronical and Electrical Engineering, Baoding, China
According to our database1,
Lijie Zhang authored at least 12 papers
between 2022 and 2026.
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Bibliography
2026
MCWTFN: An Interpretable Time-Frequency Network Based on Multicomplex Wavelet Fusion for Compound Fault Diagnosis.
IEEE Internet Things J., 2026
Zero-shot transfer learning bearing fault diagnosis based on generative adversarial network with multi-attribute vector fusion.
Expert Syst. Appl., 2026
Multi-modal semantic interaction fusion with dual-consistency contrastive learning for rotating machinery fault diagnosis.
Eng. Appl. Artif. Intell., 2026
MSA-GCN: A multi-modal spatiotemporal attention graph convolutional network for robust bearing fault diagnosis in noisy environments.
Appl. Soft Comput., 2026
2025
Graph optimization algorithm enhanced by dual-scale spectral features with contrastive learning for robust bearing fault diagnosis.
Knowl. Based Syst., 2025
Physically interpretable Stockwell weight initialization and adaptive fusion average threshold for intelligent fault diagnosis of rolling bearing under noisy environment.
Eng. Appl. Artif. Intell., 2025
2024
Semi-supervised meta-path space extended graph convolution network for intelligent fault diagnosis of rotating machinery under time-varying speeds.
Reliab. Eng. Syst. Saf., 2024
A novel interpretable semi-supervised graph learning model for intelligent fault diagnosis of hydraulic pumps.
Knowl. Based Syst., 2024
Intelligent fault diagnosis of rolling bearing based on an active federated local subdomain adaptation method.
Adv. Eng. Informatics, 2024
2023
Semi-supervised fault diagnosis of gearbox based on feature pre-extraction mechanism and improved generative adversarial networks under limited labeled samples and noise environment.
Adv. Eng. Informatics, October, 2023
Unsupervised fault diagnosis of wind turbine bearing via a deep residual deformable convolution network based on subdomain adaptation under time-varying speeds.
Eng. Appl. Artif. Intell., 2023
2022
Intelligent fault diagnosis of rolling bearing based on wavelet transform and improved ResNet under noisy labels and environment.
Eng. Appl. Artif. Intell., 2022