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Grinding Burn and Chatter Classification Using Genetic Programming

Journal Key Engineering Materials (Volumes 389 - 390)
Volume Advances in Abrasive Technology XI
Edited by Tsunemoto Kuriyagawa, Libo Zhou, Jiwang Yan and Nobuhito Yoshihara
Pages 90-95
DOI 10.4028/www.scientific.net/KEM.389-390.90
Online since September, 2008
Authors Xun Chen, James Griffin
Keywords Classification, Genetic Programming, Grinding Burn, Grinding Chatter
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.
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