Shen Yan
Orcid: 0000-0003-1293-2035Affiliations:
- Hunan University, Changsha, China
According to our database1,
Shen Yan
authored at least 11 papers
between 2022 and 2025.
Collaborative distances:
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Bibliography
2025
Adv. Eng. Informatics, 2025
SAFS-Net: A novel health indicator extraction and fault early warning method for machinery.
Adv. Eng. Informatics, 2025
2024
LiConvFormer: A lightweight fault diagnosis framework using separable multiscale convolution and broadcast self-attention.
Expert Syst. Appl., March, 2024
Transfer graph feature alignment guided multi-source domain adaptation network for machinery fault diagnosis.
Knowl. Based Syst., 2024
2023
Digital twin-assisted imbalanced fault diagnosis framework using subdomain adaptive mechanism and margin-aware regularization.
Reliab. Eng. Syst. Saf., November, 2023
C-ECAFormer: A new lightweight fault diagnosis framework towards heavy noise and small samples.
Eng. Appl. Artif. Intell., November, 2023
FGDAE: A new machinery anomaly detection method towards complex operating conditions.
Reliab. Eng. Syst. Saf., August, 2023
Dual-Threshold Attention-Guided GAN and Limited Infrared Thermal Images for Rotating Machinery Fault Diagnosis Under Speed Fluctuation.
IEEE Trans. Ind. Informatics, 2023
Hybrid robust convolutional autoencoder for unsupervised anomaly detection of machine tools under noises.
Robotics Comput. Integr. Manuf., 2023
2022
Cross-domain fault diagnosis of bearing using improved semi-supervised meta-learning towards interference of out-of-distribution samples.
Knowl. Based Syst., 2022
Semi-supervised fault diagnosis of machinery using LPS-DGAT under speed fluctuation and extremely low labeled rates.
Adv. Eng. Informatics, 2022