Grinding Burn and Chatter Classification Using Genetic Programming

Abstract:

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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 and 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:

$35.00

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