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A Hybrid RBF_GPR_EWMA Model for Data-driven Fault Detection in Centrifugal Chiller Systems

— Fault Detection and Diagnosis (FDD) are vital for maintaining the energy efficiency and reliability of centrifugal chillers. This study proposes a hybrid data-driven approach that combines Radial Basis Function (RBF) regression and Gaussian Process Regression (GPR) to develop an accurate residual-based reference mode...