Mohanraj Thangamuthu

Vibration Signal-Based Fault Detection and Classification in Friction Stir Welding Process Using Statistical Features and Lazy Learning Classifiers

This paper proposes a vibration-based approach for real-time condition monitoring of Friction Stir Welding tools, which are widely used in the marine and automotive industries, enabling earlier detection of tool faults before they result in weld defects or component failures.