An Explainable Physics-Informed Dual-Input Deep Learning Framework for Partial Discharge Detection in Noisy Environments
Partial discharge (PD) detection is essential for assessing insulation health in high-voltage equipment but is hindered by noise and non-stationary signals. This paper proposes an explainable, physics-informed hybrid framework for PD detection under synthetic noisy conditions. The method integrates wavelet-based denois...