Monitoring tool degradation during manufacturing can ensure product accuracy and reliability. However, due to variations in conditions complexity signal analysis, effective broadly applicable monitoring is still challenging achieve. Herein, a novel method using ultrasound signals augmented with numerically trained machine learning technique reported monitor the wear condition of friction stir w...