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

Author

Yury, Karavaev ; Anton, Kristen ; Pavol, Bozek

Author_Institution

Dept. of Mechatron. Syst., Kalashnikov Izhevsk State Tech. Univ., Izhevsk, Russia

fYear

2013

fDate

18-21 June 2013

Firstpage

163

Lastpage

167

Abstract

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.

Keywords

drilling; fracture; microprocessor chips; neurocontrollers; process monitoring; wear; artificial neural network; drilling bit breakage; drilling bit wear; drilling process monitoring; machining process monitoring; microprocessor device; normal drilling process; Artificial neural networks; Biological neural networks; Drilling machines; Microprocessors; Monitoring; Neurons; Torque; artificial neural network; automatisation; drilling process monitoring; microprocessor device;

fLanguage

English

Publisher

ieee

Conference_Titel

Process Control (PC), 2013 International Conference on

Conference_Location

Strbske Pleso

Print_ISBN

978-1-4799-0926-1

Type

conf

DOI

10.1109/PC.2013.6581402

Filename

6581402