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Grinding Burn and Chatter Classification Using Genetic Programming

Chen, Xun and Griffin, James Marcus (2009) Grinding Burn and Chatter Classification Using Genetic Programming. Key Engineering Materials, 389-390. pp. 90-95. ISSN 1662-9795

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Abstract

This paper looks at the multiple characteristics and investigations of two grinding anomalies: grinding burn and grinding chatter. A genetic programming (GP) of multiple classifications was investigated for different machining strategies and associated anomaly phenomena. Such a GP paradigm could evolve rules to provide the correlation between monitored signals and grinding phenomena. The investigation also looks at both Short-Time Fourier Transforms (STFT) and Wavelet Packet Transforms (WPT) to convert the raw acoustic emission (AE) signal into a time based frequency signal, segmented into different frequency bands. A set of encouraging results is presented.

Item Type: Article
Subjects: T Technology > T Technology (General)
T Technology > TA Engineering (General). Civil engineering (General)
Schools: School of Computing and Engineering
School of Computing and Engineering > Centre for Precision Technologies
School of Computing and Engineering > Centre for Precision Technologies > Advanced Machining Technology Group
School of Computing and Engineering > Diagnostic Engineering Research Centre > Measurement System and Signal Processing Research Group
School of Computing and Engineering > Informatics Research Group > XML, Database and Information Retrieval Research Group
School of Computing and Engineering > Diagnostic Engineering Research Centre
School of Computing and Engineering > Informatics Research Group
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Depositing User: Cherry Edmunds
Date Deposited: 28 May 2009 16:08
Last Modified: 10 Dec 2010 09:43
URI: http://eprints.hud.ac.uk/id/eprint/4552

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