使用条件生成对抗网络进行临界热流诊断（英文版）

英文标题：Critical heat flux diagnosis using conditional generative adversarial networks中文摘要：本研究提出了一种利用条件生成对抗网络（cGANs）的数据驱动的图像翻译方法，重建了在临界热流量（CHF）时沸腾系统的热数据，并有助于简化红外热成像相关实验设置和数据缩减程序，提供了 CHF 诊断的有效解决方案。英文摘要：The critical heat flux (CHF) is an essential safety boundary in boiling heattransfer processes employed in high heat flux thermal-hydraulic systems.Identifying CHF is vital for preventing equipment damage and ensuring overallsystem safety, yet it is challenging due to the complexity of the phenomena.