Pattern Recognition of Chatter Gestation Based on Hybrid PCA-SVM

Abstract:

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To distinguish chatter gestation, chatter recognition method based on hybrid PCA(Principal Compenent Analysis) and SVM(Support Vector Machine) is proposed for dynamic patterns of chatter gestation in cutting process. At first, FFT features are extracted from the vibration signal of cutting process, then FFT vectors are presorted and introduced to PCA-SVM for machine learning and classification. Finally the results of chatter gestation recognition and chatter prediction experiments are presented and show that the method proposed is effective.

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Periodical:

Edited by:

Jiuba Wen, Fuxiao Chen, Ye Han and Huixuan Zhang

Pages:

190-194

Citation:

Q. Shao and C. J. Feng, "Pattern Recognition of Chatter Gestation Based on Hybrid PCA-SVM", Applied Mechanics and Materials, Vol. 120, pp. 190-194, 2012

Online since:

October 2011

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$41.00

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