DocumentCode
277527
Title
Expert system for tool wear monitoring in blanking
Author
Mardapittas, A.S. ; Au, Y.H.J.
Author_Institution
Dept. of Manuf. & Eng. Syst., Brunel Univ., Uxbridge, UK
fYear
1992
fDate
33659
Firstpage
42401
Lastpage
42404
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
Keywords
computerised monitoring; computerised pattern recognition; expert systems; learning systems; machine tools; manufacturing data processing; mechanical engineering computing; Bayesian rule; CRYSTAL shell; blanking; classification; feature extraction; functional failures; monitoring equipment; powerful expert system; supervised learning; tool wear monitoring;
fLanguage
English
Publisher
iet
Conference_Titel
Intelligent Fault Diagnosis - Part 1: Classification-Based Techniques, IEE Colloquium on
Conference_Location
London
Type
conf
Filename
170064
Link To Document