Intelligent precision flexible manufacturing system through artificial neural networks and fuzzy modeling

Author

Kuo, R.J.

Author_Institution

Nat. Inst. of Technol. Kaohsiung, Tiawan, China

Volume

1

fYear

1998

fDate

4-8 May 1998

Firstpage

90

Abstract

Online tool wear estimation plays a very critical role in industrial automation for higher productivity and product quality. In addition, appropriate and timely decision for tool change is required in machining systems. Thus, the paper describes the development of an estimation system through integration of two promising technologies, artificial neural networks (ANN) and fuzzy logic. The proposed system consists of five components: (1) data collection, (2) feature extraction, (3) pattern recognition, (4) multi-sensor integration, and (5) tool/work distance compensation. Physical experiments for a metal cutting process are implemented to evaluate the proposed system. The results showed that the proposed system can significantly increase the accuracy of the product profile

Keywords

acoustic signal processing; computerised monitoring; cutting; feature extraction; fuzzy logic; fuzzy neural nets; machine tools; machining; process control; self-organising feature maps; sensor fusion; wear; artificial neural networks; data collection; estimation system; feature extraction; fuzzy logic; fuzzy modeling; higher productivity; intelligent precision flexible manufacturing system; machining systems; multi-sensor integration; online tool wear estimation; pattern recognition; product quality; tool change; tool/work distance compensation; Artificial neural networks; Feature extraction; Flexible manufacturing systems; Fuzzy logic; Machinery production industries; Machining; Manufacturing automation; Manufacturing industries; Paper technology; Productivity;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks Proceedings, 1998. IEEE World Congress on Computational Intelligence. The 1998 IEEE International Joint Conference on

Conference_Location

Anchorage, AK

ISSN

1098-7576

Print_ISBN

0-7803-4859-1

Type

conf

DOI

10.1109/IJCNN.1998.682242

Filename

682242