Proof of concept of Fault Detection and Identification Framework applied in Power Converter based on Digital Twins

Abstract

This article presents the framework proof of concept for fault detection and identification in power electronics converters using Digital Twins. Therefore, the Digital Twins contextualization on power electronics converter is presented since it is a recent trend in this research field. Moreover, a study and classification are carried out in terms of the main failures reported by the literature on power electronics. To validate the basic methodology, a buck dc-dc power converter simulation model was elaborated on Simulink, interfaced with an external DSP, providing the link with the real time requested by such monitoring applications. The results evidence that the intentional failure scenarios in the simulation are, indeed, identified and categorized by the external DSP. Thus, this proof of concept delivers the basic step for a framework capable to provide the communication of real power converters with their respective simulation model in order to provide data comparison in the monitoring of fault situations.