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.

• Periodical: Key Engineering Materials (Volumes 389-390)
• Pages: 90-95
• DOI: https://doi.org/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

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