Please use this identifier to cite or link to this item:
Title: Expert system for tool wear monitoring in blanking
Authors: Mardapittas, AS
Issue Date: 1992
Publisher: IEEE
Citation: IEE Colloquium on Intelligent Fault Diagnosis - Part 1: Classification-Based Techniques, London, UK, 25 Feb 1992. pp. 2/1 - 2/4
Abstract: A description is given of a simple yet powerful expert system created using the CRYSTAL shell which is able to monitor the potential and functional failures of the tool and the monitoring equipment. The techniques of feature extraction, selection and classification using the Bayesian rule are presented. Finally supervised learning, necessary when new situations are encountered, is also discussed.
Appears in Collections:Advanced Manufacturing and Enterprise Engineering (AMEE)
Dept of Design Research Papers

Files in This Item:
File Description SizeFormat 
Expert System for.pdf213.39 kBAdobe PDFView/Open

Items in BURA are protected by copyright, with all rights reserved, unless otherwise indicated.