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Journal Articles
- 2023
[j10]Hairui Fang
, Jin Deng, Dongsheng Chen, Wenjuan Jiang, Siyu Shao, Mingcong Tang, Jingjing Liu:
You can get smaller: A lightweight self-activation convolution unit modified by transformer for fault diagnosis. Adv. Eng. Informatics 55: 101890 (2023)- 2022
- [j9]Hairui Fang, Jin Deng, Yaoxu Bai, Bo Feng, Sheng Li, Siyu Shao, Dongsheng Chen:
CLFormer: A Lightweight Transformer Based on Convolutional Embedding and Linear Self-Attention With Strong Robustness for Bearing Fault Diagnosis Under Limited Sample Conditions. IEEE Trans. Instrum. Meas. 71: 1-8 (2022) - 2021
- [j8]Xinyu Yang, Fulin Chi, Siyu Shao, Qiang Zhang:
Bearing Fault Diagnosis under Variable Working Conditions Based on Deep Residual Shrinkage Networks and Transfer Learning. J. Sensors 2021: 1-13 (2021) - [j7]Hairui Fang, Jin Deng, Bo Zhao, Yan Shi, Jianye Zhou, Siyu Shao:
LEFE-Net: A Lightweight Efficient Feature Extraction Network With Strong Robustness for Bearing Fault Diagnosis. IEEE Trans. Instrum. Meas. 70: 1-11 (2021) - 2020
- [j6]Hao Zhang, Qiang Zhang, Siyu Shao, Tianlin Niu, Xinyu Yang:
Attention-Based LSTM Network for Rotatory Machine Remaining Useful Life Prediction. IEEE Access 8: 132188-132199 (2020) - [j5]Siyu Shao, Ruqiang Yan, Yadong Lu, Peng Wang, Robert X. Gao:
DCNN-Based Multi-Signal Induction Motor Fault Diagnosis. IEEE Trans. Instrum. Meas. 69(6): 2658-2669 (2020) - 2019
- [j4]Pu Wang, Borui Hou, Siyu Shao, Ruqiang Yan:
ECG Arrhythmias Detection Using Auxiliary Classifier Generative Adversarial Network and Residual Network. IEEE Access 7: 100910-100922 (2019) - [j3]Siyu Shao, Pu Wang, Ruqiang Yan:
Generative adversarial networks for data augmentation in machine fault diagnosis. Comput. Ind. 106: 85-93 (2019) - [j2]Siyu Shao, Stephen McAleer, Ruqiang Yan, Pierre Baldi:
Highly Accurate Machine Fault Diagnosis Using Deep Transfer Learning. IEEE Trans. Ind. Informatics 15(4): 2446-2455 (2019) - 2017
- [j1]Wenjun Sun, Rui Zhao, Ruqiang Yan, Siyu Shao, Xuefeng Chen:
Convolutional Discriminative Feature Learning for Induction Motor Fault Diagnosis. IEEE Trans. Ind. Informatics 13(3): 1350-1359 (2017)
Coauthor Index
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