Datasets of multiple sets of bidirectional Buck/Boost converters in degraded states

This dataset contains the experimental data used for training and evaluation of the Physics-Informed Neural Network (PINN) model in the study “Intelligent Lifespan Prediction for Spaceborne Power Converters via Distributed Air-Ground Collaboration Enabled by Physics-Data Hybrid Modeling.” The data describe the steady-state voltage and current waveforms of a bidirectional DC-DC converter under various degradation states, along with the corresponding circuit parameter values (R1, R2, C). Each degradation state represents a unique combination of these parameters.本数据集为某研究中用于训练与评估物理知情神经网络（Physics-Informed Neural Network，PINN）模型的实验数据，该研究题为《基于物理-数据混合建模与空地协同的星载电力变换器智能寿命预测》。 该数据集记录了双向DC-DC变换器在多种退化状态下的稳态电压与电流波形，以及对应的电路参数值（R1、R2、C）。每一种退化状态均对应上述参数的一组唯一组合。