The implementation of microprocessor device for drilling process monitoring based on artificial neural network

This paper deals with research of implementation of artificial neural networks for machining processes monitoring. A microprocessor device, neural network algorithm and program for it were developed. Different neural networks parameters were simulate, and on the example of the real drilling process the artificial neural network was trained to recognize three possible cases: normal drilling process, drilling bit wear, and drilling bit breakage. The results of experiments are described.