宋艳
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Paper Publications
- [1] songyan , liyibin , jialei and Yu Zhang. Domain Generalization Combining Covariance Loss With Graph Convolutional Networks for Intelligent Fault Diagnosis of Rolling Bearings. IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2024.
- [2] 从霄. Federated domain generalization with global robust model aggregation strategy for bearing fault diagnosis. MEASUREMENT SCIENCE AND TECHNOLOGY, 34, 2023.
- [3] 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.
- [4] 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.
- [5] 王代超. Attention-Based Bilinear Feature Fusion Method for Bearing Fault Diagnosis. 《IEEE-ASME TRANSACTIONS ON MECHATRONICS》, 28, 1695-1705, 2022.
- [6] 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.
- [7] 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.
- [8] Song, Y., He, B.*, & Liu, P.. Real-Time Object Detection for AUVs Using Self-Cascaded Convolutional Neural Networks. IEEE JOURNAL OF OCEANIC ENGINEERING, 46, 56, 2021.
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