SUMMARY
SUMMARYThe study aims to identify and classify machining phenomenon compared to a reference signal to determine if the toolpath mimics reflects the intended behavior. To accomplish this, a Computer Numerical Control (CNC) milling machine is instrumented with accelerometers to track and record vibrations. This data is collected from the spindle and processed using a machine learning algorithm that segregates signatures based on selected features and classifies them as expected behaviors or anomalous.Presentation Participation Information Phone Dial-in+1.888.748.9073 (United States(Primary))+1.844.540.8065 (United States(Primary))+1.408.419.1715 (United States(San Jose))+1.408.915.6290 (United States(San Jose))Global Numbers: https://www.bluejeans.com/premium-numbersMeeting ID: 564 086 576