Open AccessApplication of artificial intelligence to diagnose tool wear during milling
Author(s) -
Jan Burek,
Paweł Kubik
Publication year - 2018
Publication title -
mechanik
Language(s) - English
Resource type - Journals
ISSN - 0025-6552
DOI - 10.17814/mechanik.2018.8-9.123
Subject(s) - artificial neural network , artificial intelligence , process (computing) , computer science , marketing and artificial intelligence , machine learning , artificial intelligence system , set (abstract data type) , engineering , intelligent decision support system , programming language , operating system
The paper contains a research about an ability to use an artificial intelligence in tool condition monitoring process online. There was a parolee why developing a system which set a machine able to get a decision them self is advisable. Besides, there was described an ability to use an artificial intelligence, and limits to use the technology. In conducted experimental researchers there was discover an influence neural network’s structure on learning process (learning time-consuming and ability to make a knowledge an abstract).