most citedEnvironmental variation compensated damage classification and localization in ultrasonic guided wave SHM using self-learnt features and Gaussian mixture models

46 citations · 46 across the 1 of their papers we have counts for

collaborators

1 paper

eess.SP2021★ 46 cited

Environmental variation compensated damage classification and localization in ultrasonic guided wave SHM using self-learnt features and Gaussian mixture models

Shruti Sawant, Sheetal Patil, Jeslin Thalapil +2

Conventional damage localization algorithms used in ultrasonic guided wave-based structural health monitoring (GW-SHM) rely on physics-defined features of GW signals. In addition t…