Open access
Aug 2026
Multi-Objective Optimized Machine Learning for Early Fault Detection in Water-Cooled Chillers
A hybrid optimization-based FDD framework for early fault diagnosis in water-cooled chillers is proposed, integrating the Non-Dominated Sorting Genetic Algorithm III with Local Search (NSGA-III-LS) and the M5 Prime regression model for hyperparameter tuning and nonlinear operational modeling.
Thanh Duc Nguyen, Dinh Anh Tuan Tran
· Journal of Engineering and S... · 0 citations