Problem Statement

Problem Statement:

Conventional methods of detecting tool wear rely heavily on manual inspection, which is time-consuming, interruptive, and often inaccurate. The lack of real-time detection mechanisms leads to unexpected tool failures and suboptimal machining results. This project aims to address this gap by developing a predictive model using vibration signals to monitor and classify tool wear in a simulated environment.