Digital Twin Based Health Monitoring of DC-DC Converter: A Review
Keshav Dutt, Nishant Kumar
Abstract
This review article provides a qualitative description of health monitoring for the DC-DC converter using the digital twin concept. A Digital Twin is a virtual clone of a physical system that operates simultaneously with a physical DC-DC converter. It provides data for monitoring and controlling the converter by using measurement data from existing sensors in the hardware. A digital twin might be either model-based, data-driven, or a hybrid of both approaches. This work presents the creation, advancement, and experimental confirmation of a digital twin method for monitoring the health of the DC-DC converter. Parameter deterioration and Fault Diagnosis are the primary factors that determine the health of the DC-DC converter. Determining degradation characteristics and identifying faults in the physical system relies on analyzing data by comparing sensor measurements with data from the digital model. This presentation discusses and compares several methods for assessing the status of the DC-DC converter.