Pulsed-Power Load Monitoring for an All-Electric Ship: Utilizing the Fourier Transform Data-Driven Deep Learning Approach
Yue Ma, Damian Oslebo, Atif Maqsood, Keith Corzine
Abstract
Future Naval Advanced Weapon and sensor loads require high power density power electronic distribution systems (PEDs) to be viable. The mission-defined electronic loads, such as advanced radar and pulsed-power weapons, tend to have an irregular power draw, consume a significant amount of power, and would require significant additional generation equipment well beyond the existing power system. A legacy low-voltage ac power grid on a destroyer is already at capacity and because space is at a premium, it is unlikely that any new power-hungry pulse load could be included without a significant paradigm shift. Furthermore, most of the potential power within the vessel is locked to the mechanical drive system and not readily usable as electrical power. As such, the all-electric ship is the intended option to unlock the mechanical power for various high power pulse loads.