Chiara Puricelli

Audio-Driven Unsupervised Learning for Tool Wear Detection in Milling Operations

2026 · Procedia Computer Science

Tool wear monitoring (TWM) is a pivotal task for ensuring process efficiency, product quality, and sustainability in manufacturing. Traditional supervised approaches for TWM rely on labeled datasets that require costly and time-consuming experimentation and annotation. …