A condition monitoring methodology using deep-learning-based surrogate models and parameter identification applied to heat pumps
收藏Figshare2025-02-04 更新2026-04-28 收录
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https://figshare.com/articles/dataset/A_condition_monitoring_methodology_using_deep-learning-based_surrogate_models_and_parameter_identification_applied_to_heat_pumps/26027368
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资源简介：
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.
创建时间：
2025-02-04
