Research on Robust Fault Diagnosis Method of Chiller Based on Conformal Prediction
A robust fault diagnosis method for chillers based on conformal prediction is proposed in this paper. Using the data from ASHRAE RP-1043 project,the diagnostic performance of different data-driven models is analyzed across seven fault scenarios,employing two testing methods:random partition and variable operating condition test. The results indicate that the proposed method effectively mitigates the decline in diagnostic performance of fault diagnosis models under new operating conditions. Compared with traditional machine learning models,the proposed fault diagnosis method achieves an average maximum improvement in accuracy and recall of 17.35％ and 20.53％,respectively.
万方数据
维普
