Paper Title:
Grinding Burn and Chatter Classification Using Genetic Programming
  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.

  Info
Periodical
Key Engineering Materials (Volumes 389-390)
Edited by
Tsunemoto Kuriyagawa, Libo Zhou, Jiwang Yan and Nobuhito Yoshihara
Pages
90-95
DOI
10.4028/www.scientific.net/KEM.389-390.90
Citation
X. Chen, J. Griffin, "Grinding Burn and Chatter Classification Using Genetic Programming", Key Engineering Materials, Vols. 389-390, pp. 90-95, 2009
Online since
September 2008
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Price
$32.00
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