A condition monitoring methodology using deep-learning-based surrogate models and parameter identification applied to heat pumps

The datasets accompany the paper titled "A condition monitoring methodology using deep-learning-based surrogate models and parameter identification applied to heat pumps". The datasets were generated via a custom-developed physics-based heat pump model that includes degradation factors on specific components. The dataset was used for training deep-learning-based surrogate models and to demonstrate a condition monitoring methodology using parameter identification.