
K-SVD Dictionary Learning for Damage Detection Repository
K-SVD Dictionary Learning for Damage Detection is a baseline-free, data-driven approach for detecting structural damage using guided ultrasonic waves. Developed by Supreet Alguri and Dr. Joel B. Harley, this method eliminates the need for pristine baseline measurements—a major limitation in many real-world Structural Health Monitoring (SHM) systems.
This CodeOcean capsule provides a reproducible implementation of the algorithm, as described in the paper: