宋艳
Click:
The Last Update Time:..
Paper Publications
- [1] 宋艳 , 庄英豪 , 王代超 , 李沂滨 and Yu (Eve) Zhang. Fault Diagnosis in Rolling Bearings Using Multi-Gaussian Attention and Covariance Loss for Single Domain Generalization. IEEE Transactions on Instrumentation and Measurement, 2025.
- [2] 宋艳. Domain Generalization Combining Covariance Loss With Graph Convolutional Networks for Intelligent Fault Diagnosis of Rolling Bearings. IEEE Transactions on Industrial Informatics, 2024.
- [3] 从霄. Federated domain generalization with global robust model aggregation strategy for bearing fault diagnosis. MEASUREMENT SCIENCE AND TECHNOLOGY, 34, 2023.
- [4] 宋艳. Federated domain generalization for intelligent fault diagnosis based on pseudo-siamese network and robust global model aggregation. International Journal of Machine Learning and Cybernetics, 2023.
- [5] 王代超. Bearing Fault Diagnosis Method Based on Complementary Feature Extraction and Fusion of Multisensor Data. 《IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT》, 71, 2022.
- [6] 王代超. Attention-Based Bilinear Feature Fusion Method for Bearing Fault Diagnosis. 《IEEE-ASME TRANSACTIONS ON MECHATRONICS》, 28, 1695-1705, 2022.
- [7] Song, Y., Gao, S., Li, Y.*, Jia, L.*, Li, Q., & Pang, F.. Distributed Attention-Based Temporal Convolutional Network for Remaining Useful Life Prediction. IEEE Internet of Things Journal, 8, 9594-9602, 2021.
- [8] Li, Y., Song, Y.*, Jia, L*., Gao, S., Li, Q., & Qiu, M.. Intelligent Fault Diagnosis by Fusing Domain Adversarial Training and Maximum Mean Discrepancy via Ensemble Learning. IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 17, 2833, 2021.
Copyright All Rights Reserved Shandong University Address: No. 27 Shanda South Road, Jinan City, Shandong Province, China: 250100
Information desk: (86) - 0531-88395114
On Duty Telephone: (86) - 0531-88364731 Construction and Maintenance: Information Work Office of Shandong University