Pattern recognition of chatter gestation based on SVM — HMM method
Qiang Shao, Cheng Shao, Guan Li-na · 2009
To distinguish chatter gestation, a new method of chatter gestation based on HMM-SVM method is proposed for dynamic patterns of chatter gestation in cutting process. At first, FFT features are extracted from the model signal of cutting process, then FFT vectors are introduced to HMM-SVM (Hidden Markov Model — Support Vector Machine) for machine learning and classification. the vibration signal of cutting process is introduced to the HMM-SVM model. Finally, the results of chatter gestation recognition and chatter prediction experiments are presented and show that the method proposed is executable and effective.