Fault analysis of refrigeration system based on XGBoost and SHAP
Aiming at the problem that the fault diagnosis model of refrigeration system based on data-driven is lack of inter-pretability,a fault prediction and feature analysis method of refrigeration system based on XGBoost and SHAP was proposed.Firstly,based on the XGBoost model,the refrigerant leakage,condenser fan fault and evaporator fan fault of the refrigeration sys-tem were predicted respectively.Secondly,combined with the SHAP interpretation method,the characteristics of the three faults were analyzed.The results show that the compressor inlet pressure can be used to judge whether the system has condenser fan fault and evaporator fan fault,while the refrigerant leakage requires multiple characteristics to judge,mainly the compressor ex-haust pressure,cooling capacity,and expansion valve outlet pressure.
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