The application of artificial intelligence in the prediction systems on the example of a cutting tool

被引：0

作者：

Wittbrodt, Piotr ^{[1
]}

Lapunka, Iwona ^{[2
]}

Marek-Kolodziej, Katarzyna ^{[2
]}

机构：

[1] Opole Univ Technol, Dept Management & Prod Engn, Opole, Poland

[2] Opole Univ Technol, Dept Project Management, Opole, Poland

来源：

VISION 2020: INNOVATION MANAGEMENT, DEVELOPMENT SUSTAINABILITY, AND COMPETITIVE ECONOMIC GROWTH, 2016, VOLS I - VII | 2016年

关键词：

prediction; fuzzy logic; neural network; wear; cutting tool; NEURAL-NETWORK; ACOUSTIC-EMISSION; MILLING PROCESS; WEAR;

D O I：

暂无

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

The article presents the application possibilities of artificial intelligence' selected elements in the prediction systems of monitoring and diagnostics layouts of technical systems on the example of the working surface wear of a ball nose end mill. A brief characterization of artificial intelligence was performed, including elements of the neural network and fuzzy logic. An example of a practical application of neural networks and fuzzy logic in the prediction of the state of the ball nose end mill has been presented and the effectiveness of the methods in the wear prognosis has been assessed.

引用

页码：3045 / 3052

页数：8

共 27 条

[1]

Antoni J., 2006, MECH SYSTEMS SIGNAL, V20, P2

[2] Data fusion neural network for tool condition monitoring in CNC milling machining [J].