Digital Twin-Driven Crack Monitoring for Rotating Blade: An L1 regularization Method

Abstract Crack-related damage of rotating blade is one of the most common failures of aeroengines. However, conventional blade crack monitoring methods are challenging to obtain the exact location and severity of the crack. In this study, a digital twin-driven blade crack monitoring method using the L1 regularization and sensitivity-based model updating is proposed to quantify the location and severity of crack damage for rotating blade. First and foremost, a digital twin model framework for rotating blade is established, including physical entity, digital entity, and the connection between them. Then a digital entity based on finite element model and an L1 regularized objective function based on the residual of natural frequencies are constructed, where the damage parameter of crack could be obtained by using the sensitivity-based model updating technology, hereby the location and severity of crack could be determined. Finally, numerical simulations are carried out, which verify that the proposed method is capable of accurately identifying the location and severity of crack, and could provide a reference for further research in this field.