This Partnerships for Innovation - Technology Translation (PFI-TT) project develops a novel diagnostic tool for power modules used in electric vehicles (EVs) that can improve their reliability and efficiency. Power modules are critical for the electrification of transportation. However, their widespread adoption is hindered by module failures, which can lead to expensive repairs and vehicle downtime. Existing diagnostic methods are limited in their ability to detect the interconnected nature of electrical, thermal, and mechanical faults in real time. This project addresses these limitations by introducing a fault detection method that will enable predictive maintenance, reducing failure rates and extending module lifetime. The technology leverages acoustic wave analysis to detect and predict these failures before they occur. This technology will enable proactive maintenance, reduce repair costs, and extend the lifespan of EVs. Additionally, the project may create new job opportunities in the manufacture, installation, and maintenance of the monitoring system. This project aims to develop a wideband acoustic emission sensing system capable of detecting and diagnosing multiple fault types in power modules, including electrical fault, thermal runaway, and mechanical fatigue. Building on prior foundational research, this project will extend the application of acoustic sensing to power electronics by developing robust sensor systems and data analysis tools for real-time fault