Sensor fusion for monitoring machine tool conditions

A unique multisensory tool monitoring system using machine vision and vibration sensors has been developed for turning operations. Vibration signals from the tool are monitored on-line using a piezoelectric accelerometer mounted on the tool holder and the tool condition is monitored periodically using a vision sensory system. Images of the tool are frame grabbed between cuts. The developed image processing algorithm uses neural network mathematics to measure the tool wear in the captured images.