The monitoring of the turning tool wear process using an artificial neural network

摘要

The study of machine tool dynamics is performed here as "monitoring", which involves the checking and improving of machine functioning. Signals collected from certain sensors are processed by a computer. These data then lead to the monitoring decision, which is to associate the current state of operation with one of the classes from a set of known classes. For monitoring in turning, the classes (tool conditions) are shown. The experimental setup, experimental results and data processing are presented. For the monitoring of the tool wear, an artificial neural network (ANN) is used.