Conference
Tool condition monitoring in machining by fuzzy neural networks
Abstract
The Multiple Principal Component (MPC) Fuzzy Neural Network for tool condition monitoring in machining under varying conditions is proposed. This approach was built through training with learning data obtained from cutting tests performed in reasonable range of cutting conditions. In the monitoring tests conducted, the tool conditions considered includes sharp tool, tool breakage, slight wear, medium wear, and severe wear. Results showed …
Authors
Li S; Elbestawi MA
Volume
55-2
Pagination
pp. 1019-1034
Publication Date
December 1, 1994
Conference proceedings
American Society of Mechanical Engineers Dynamic Systems and Control Division Publication DSC