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ORCIDShen Yan 0001
Person information
- affiliation: Hunan University, Changsha, China
Other persons with the same name
- Shen Yan — disambiguation page
- Shen Yan 0002
![[0000-0002-1415-5113]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-1415-5113")
— National University of Defense Technology, Changsha, Hunan, China - Shen Yan 0003 — Nanjing Forestry University, Nanjing, China
- Shen Yan 0004 — Peking University, China
- Shen Yan 0005 — Huawei Technologies Company Ltd., Shenzhen, China
- Shen Yan 0006 — Taiyuan University of Technology, Taiyuan, China
- Shen Yan 0007 — Meta
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2020 – today
- 2026
[j12]Yi Gao, Haidong Shao, Shen Yan, Xinyi Wang, Bin Liu:
Partial sensing information-driven threshold cyclic update graph autoencoder for mechanical anomaly detection. Reliab. Eng. Syst. Saf. 265: 111558 (2026)- 2025
- [j11]Yiming Xiao, Haidong Shao, Shen Yan, Jie Wang, Ying Peng, Bin Liu:
Domain generalization for rotating machinery fault diagnosis: A survey. Adv. Eng. Informatics 64: 103063 (2025) - [j10]Minghui Shao, Haidong Shao, Minjie Feng, Shen Yan, Bin Liu:
SAFS-Net: A novel health indicator extraction and fault early warning method for machinery. Adv. Eng. Informatics 68: 103614 (2025) - 2024
- [j9]Shen Yan, Haidong Shao, Jie Wang, Xinyu Zheng, Bin Liu:
LiConvFormer: A lightweight fault diagnosis framework using separable multiscale convolution and broadcast self-attention. Expert Syst. Appl. 237(Part A): 121338 (2024) - [j8]Zhengwu Liu, Xiang Zhong, Haidong Shao, Shen Yan, Bin Liu:
Transfer graph feature alignment guided multi-source domain adaptation network for machinery fault diagnosis. Knowl. Based Syst. 305: 112606 (2024) - 2023
- [j7]Jie Wang, Haidong Shao, Shen Yan, Bin Liu:
C-ECAFormer: A new lightweight fault diagnosis framework towards heavy noise and small samples. Eng. Appl. Artif. Intell. 126: 107031 (2023) - [j6]Shen Yan, Haidong Shao, Yiming Xiao, Bin Liu, Jiafu Wan:
Hybrid robust convolutional autoencoder for unsupervised anomaly detection of machine tools under noises. Robotics Comput. Integr. Manuf. 79: 102441 (2023) - [j5]Shen Yan, Haidong Shao, Zhishan Min, Jiangji Peng, Baoping Cai, Bin Liu:
FGDAE: A new machinery anomaly detection method towards complex operating conditions. Reliab. Eng. Syst. Saf. 236: 109319 (2023) - [j4]Shen Yan, Xiang Zhong, Haidong Shao, Yuhang Ming, Chao Liu, Bin Liu:
Digital twin-assisted imbalanced fault diagnosis framework using subdomain adaptive mechanism and margin-aware regularization. Reliab. Eng. Syst. Saf. 239: 109522 (2023) - [j3]Haidong Shao, Wei Li, Baoping Cai, Jiafu Wan, Yiming Xiao, Shen Yan:
Dual-Threshold Attention-Guided GAN and Limited Infrared Thermal Images for Rotating Machinery Fault Diagnosis Under Speed Fluctuation. IEEE Trans. Ind. Informatics 19(9): 9933-9942 (2023) - 2022
- [j2]Shen Yan, Haidong Shao, Yiming Xiao, Jian Zhou, Yuandong Xu, Jiafu Wan:
Semi-supervised fault diagnosis of machinery using LPS-DGAT under speed fluctuation and extremely low labeled rates. Adv. Eng. Informatics 53: 101648 (2022) - [j1]Jian Lin, Haidong Shao, Zhishan Min, Jingjie Luo, Yiming Xiao, Shen Yan, Jian Zhou:
Cross-domain fault diagnosis of bearing using improved semi-supervised meta-learning towards interference of out-of-distribution samples. Knowl. Based Syst. 252: 109493 (2022)
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