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[1]2026-16393，数字孪生驱动的重载齿轮装备齿根裂纹故障智能预测方法研究—Y，江苏省科技厅，2026-05-15
[2]2026-16201，变工况下基于Transformer网络的旋转设备异常诊断研究—Y，国家自然科学基金委员会，2026-04-27
[3]2025-15984，先进结构材料极端条件原位表征方法与性能调控-3，江苏省科学技术厅，2025-09-09
[4]2022-12658，变工况下基于Transformer网络的旋转设备异常诊断研究，国家自然科学基金委员会，2022-09-08
[5]2022-12459，数字孪生驱动的重载齿轮装备齿根裂纹故障智能预测方法研究，江苏省科技厅，2022-07-01
[6]2022-11296，数字孪生驱动的低速重载齿轮装备齿面磨损故障智能预测方法研究，2022-01-20
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