宋艳
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Scientific Research
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Paper Publications
more+- [1] 宋艳, 杨涵, 从霄, 高辉, 王代超, 李沂滨 and Yu Zhang. Universal domain adaptation with adaptive dual-confidence bounds for rotating machinery fault diagnosis. Mechanical Systems and Signal Processing, 252, 2026.
- [2] 宋艳 and 刘鹏. Federated Domain Generalization Based on Gaussian Mapping and Constrained Quadratic Programming for Rotating Machinery Fault Diagnosis. 《IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT》, 75, 2026.
- [3] 从霄, 庄英豪, 李沂滨, 王代超, Yu Zhang and 宋艳. Multi-scale Gaussian feature enhancement and prototype graph convolutional network for domain-generalized rolling bearing fault diagnosis. Expert Systems with Applications, 296, 2025.
- [4] 杨涵, 宋艳, 王代超, 邢金昊 and 李沂滨. A global information-guided denoising diffusion probabilistic model for fault diagnosis with imbalanced data. Engineering Applications of Artificial Intelligence, 147, 2025.
- [5] 宋艳, 庄英豪, 王代超, 李沂滨 and Yu Zhang. Fault Diagnosis in Rolling Bearings Using Multi-Gaussian Attention and Covariance Loss for Single Domain Generalization. 《IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT》, 2025.
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