Drilling process monitoring: a framework for data gathering and feature extraction techniques

Abstract Today’s industrial transformation is taking advantage of the benefits information and communication technologies (ICT) to evolve into a more decision-making environment in manufacturing. Efficiency, agility, innovation, quality cost savings are goals this one most employed manufacturing processes as case machining. Drilling among last operations different stages machined parts, where an undetected problem can lead production defective part. Data analysis sensor signals gathered during drilling provides related cutting process that anticipate non-desired phenomena. This work illustrates experimental setup for sensorial data acquisition processes, signal processing techniques feature extraction methodologies faster robust paradigms.