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Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/2921

Title: Expert system for tool wear monitoring in blanking
Authors: Mardapittas, AS
Au, YHJ
Publication 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.
URI: http://bura.brunel.ac.uk/handle/2438/2921
Appears in Collections:School of Engineering and Design Research papers
Advanced Manufacturing and Enterprise Engineering (AMEE)

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