Lu-Yang Zhao

Surrogate Model-Driven Deep Reinforcement Learning for Sensor Placement Optimization in Guided Wave Damage Localization

Guided wave-based structural health monitoring (SHM) relies critically on sensor placement, as sensor layouts must provide sufficient information for subsequent damage inference. However, practical constraints on sensor quantity often degrade the spatial resolution of damage localization. Existing sensor placement opti...