Conference
Tool Condition Monitoring in Machining by Fuzzy Neural Networks
Abstract
Abstract The Multiple Principal Component (MPC) Fuzzy Neural Network for tool condition monitoring in machining under varying cutting conditions is proposed. This approach is based on three major components of “soft computation”, namely fuzzy logic, neural network, and probability reasoning. The MPC classification fuzzy neural networks were built through training with learning data obtained from cutting tests performed in a reasonable range of …
Authors
Li S; Elbestawi MA
Pagination
pp. 1019-1034
Publisher
ASME International
Publication Date
November 6, 1994
DOI
10.1115/imece1994-0535
Name of conference
Dynamic Systems and Control: Volume 2 — Design and Analysis of Fluid Power Control Components/Systems; Automated Modeling; Micro-Mechanical Systems; Microsensors/Microactuators; Fabrication/Systems; Mechatronics for Manufacturing; Automatic Control Textbooks; Sensors for Identification/Control; Dynamic Systems Modeling