Mentor: Mark Scott, Ph.D.

Power electronics are essential to space innovations, supporting critical functions such as power conversion, conditioning, and management. Due to the complex and dynamic behavior of power electronics, reliable tools and methods for simulation, health monitoring, and failure prediction are not currently widely available. By determining when power electronics will fail, we can balance the expensive costs of frequent component replacement against the risks of unexpected failures. One health monitoring method being explored in the current research space is using a digital twin, or simulated version of a system, for failure detection and prediction. This research aims to design and fabricate a compact, accessible, and scalable printed circuit board (PCB) that consolidates a previously developed digital twin-based multi-part system for power electronics health monitoring and failure prediction. The condensed PCB was designed with Altium Designer to fit and interact with a Raspberry Pi 3, enabling adjustable and scalable operation.

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