We present a hybrid framework to support prognostics of the clogging degradation phenomenon in tube support plates for digital twins of steam generators in pressurized water reactors. The proposed approach combines a physics-based simulation code, heterogeneous and sparse observational data, and several uncertainty quantification techniques to obtain a robust estimate of the steam generator remaining useful life associated with the clogging rate. The proposed framework is compatible with a digital twin platform to assist maintenance planning of EDF steam generators.

翻译：我们提出一种混合框架，用于支持压水堆蒸汽发生器数字孪生中管支撑板堵塞退化现象的预测。该方法结合基于物理的仿真代码、异质稀疏观测数据及多种不确定性量化技术，以稳健估计与堵塞速率相关的蒸汽发生器剩余使用寿命。该框架兼容数字孪生平台，可辅助法国电力集团（EDF）蒸汽发生器的维护规划。