Moveillance: Visualizing Electric Machines
Steve Mann, Danson Evan Garcia, Phillip V. Do, Derek Lam, Pete Scourboutakos · 2020
We introduce a novel method of researching, understanding, and visualizing fundamentals of electric machines through the use of augmented reality (AR). The otherwise hidden rotating electromagnetic (EM) fields inside electric motors and generators are made visible with Sequential Wave Imprinting Machines (SWIMs). By attaching one or more SWIMs to the machine's rotating frame, the system reveals the electric machine's inner workings. Changes to these waves directly reflect changes in the controller and its parameters, for example, load or timing. Finally, we discuss the useful insights provided by AR for load analysis and motor control, using the visualized Waveform patterns from a three-phase motor.