Digital Twin Based Health Monitoring of DC-AC Inverter: A Review

This article summarizes the state of digital twin-based health monitoring for DC-AC inverters. When used in conjunction with a real-life DC-AC inverter, a digital twin creates an exact replica of the system in question. It helps keep an eye on the converter and adjust its settings by analyzing readings from the hardware's current sensors. There are a variety of ways to create a digital twin; some are data-driven, while others rely on models. Developing and testing a digital twin approach to DC-AC inverter health monitoring is detailed in this paper. There are two main ways to tell whether a DC-AC inverter is healthy: parameter degradation and fault diagnosis. Data analysis involves comparing sensor readings with data from the digital model in order to determine deterioration characteristics and find defects in the physical system. This presentation will go over several ways to check the DC-AC inverter's health.