JAIN (Deemed-to-be University)’s School of Aerospace Engineering is working extensively on Structural Health Monitoring of several aircraft joints on Prognostic approach. They are carrying out a research project on Digital Twin for critical joints of aircraft components and developing a basic framework for the analysis of Digital Twin. Digital Twin is the replica of the flying aerospace vehicle in the digital world.
It is a dynamic software model of aircraft (or any physical phenomenon) that reckons on sensor data to understand its state, respond to the changes and improve the operations by delivering an alert message on possible damage site.
This technology requires the ability to measure loads during the flight, individual vehicle tracking for the load usage spectrum, big data analytics to identify the load signals from the sensors, fatigue and fracture approach to estimate expended or remaining life, evaluate the results to decide which tolerate the damage or go for repair before the next flight or launch. This approach of Digital Twin process enables the airliners to move from scheduled maintenance to predictive maintenance.
