A Novel Temporal-aware Efficient Convolution Network for Variable Working Condition Bearing Fault Diagnosis一种新型时序感知高效卷积网络用于变工况轴承故障诊断Journal of Vibration Engineering & TechnologiesIF2.42026-04-090PRE
A bearing fault data augmentation method based on hybrid-diversity loss diffusion model and parameter transfer基于混合多样性损失扩散模型和参数传递的轴承故障数据扩充方法RELIABILITY ENGINEERING & SYSTEM SAFETYIF112025-01-010PRE
个人简介
教育背景
工作经历
荣誉奖项
未登录.png){kind=icon}
未登录个人简介教育背景工作经历荣誉奖项
研究方向