A condition monitoring methodology using deep-learning-based surrogate models and parameter identification applied to heat pumps
收藏DataCite Commons2025-02-04 更新2025-04-16 收录
下载链接：
https://scholardata.sun.ac.za/articles/dataset/A_condition_monitoring_methodology_using_deep-learning-based_surrogate_models_and_parameter_identification_applied_to_heat_pumps/26027368/1
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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.
提供机构：
SUNScholarData
创建时间：
2025-02-04
