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

Autor:	Bezak Pavol, Klekovkin Anton, Karavaev Yury
Rok vydání:	2013
Předmět:	Engineering Microprocessor Machining Artificial neural network business.industry law Bit wear Drilling Control engineering business law.invention
Zdroj:	2013 International Conference on Process Control (PC).
DOI:	10.1109/pc.2013.6581402
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::1784b72e16b4c879b0a0ea28cd042431 https://doi.org/10.1109/pc.2013.6581402 Zobrazit plný text záznamu