A failure detection supporting system for machining process control

Abstract

Based on Kalman filter and probability theories, a failure detection model as well as a monitoring supporting system have been developed for machining process control and monitoring. Experimental results from computer simulations show that the model and the supporting system are effective and the average time in detecting typical failure signals is reduced about 20 percent when utilizing the supporting system.