关键词: 颤振, 诊断, 小波包, 希尔伯特黄变换, 支持向量机, 模糊, 铣削

Abstract: To improve the processing quality of products,the chatter stability lobes diagram was obtained with tests,and vibrate signals of CNC milling were collected to ensure the accuracy.The methods of wavelet packet transform and Hilbert-Huang transform were integrated to extract the characteristic value from two aspects of energy frequency distribution and statistical distribution,in which the influence of environmental noise interference could be reduced effectively by taking the wave let packet was as a pre-process,and the precision of EMD decomposition could be improved.The chatter identification model was established with Fuzzy Support Vector Machine (FSVM),and the vibration signal was differentiated into stable signal,weak chatter signal,chatter signal and tool-worn signal.The result of test indicated that the proposed model had fine ability of identifying and diagnosis in the field of CNC milling,and the prediction accuracy of the model could be achieved to 97.3%.A new way for detecting chatter of CNC milling accurately was also provided.

Key words: chatter, identification, wavelet packet, Hilbert-Huang transform, support vector machine, fuzzy, milling