This work shows the application of artificial neural networks in terms of modeling and simulating the aging process and the degradation of proton exchange membrane water electrolysis stacks. It includes the training process based on extracted measurement data, the evaluation, and the extrapolation of the network. The fundamentals of the utilized artificial neural network and the training algorithm are clarified. Next, the principle degradation effects are presented as well as the methodology of the underlying measurements. The resulting degradation of the electrolysis stack for different operation conditions is shown.

中文翻译：

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人工神经网络用于电解堆老化的模拟

这项工作展示了在建模和模拟质子交换膜水电解堆的老化过程和退化方面，人工神经网络的应用。它包括基于提取的测量数据，评估和网络外推的训练过程。阐明了所使用的人工神经网络的基本原理和训练算法。接下来，介绍了主要的降级效果以及基础测量方法。显示了在不同操作条件下电解堆的最终降解。