National Formosa University

Bayesian-optimized hybrid CNN–RNN framework for high-fidelity prediction of spindle thermal deformation in CNC machine tools

Thermal drift is a major source of dimensional inaccuracy in CNC machine tools. This study presents an integrated framework that combines finite element (FE) thermal validation, synchronized multi-sensor temperature and displacement measurements, and Bayesian optimization of hybr...

Optimization of Redundancy Allocation With Green Components and Applications in Automotive Systems

ABSTRACT Traditional reliability evaluation in redundancy allocation problems often overlooks the early‐stage low‐failure‐probability region, leading to potential inconsistencies in modeling component behavior. To address this issue, this study proposes a novel Green Reliability...