Grinding Burn and Chatter Classification Using Genetic Programming
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.
Tsunemoto Kuriyagawa, Libo Zhou, Jiwang Yan and Nobuhito Yoshihara
X. Chen and J. Griffin, "Grinding Burn and Chatter Classification Using Genetic Programming", Key Engineering Materials, Vols. 389-390, pp. 90-95, 2009