Research on Chatter Prediction and Monitor Based on DHMM Pattern Recognition Theory

摘要：

A new method of chatter prediction based on Discrete Hidden Markov Models (DHMM) 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 coded into code book of integer numbers by SOM, and these code books are introduced to DHMM 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.

关键词： Discrete Hidden Markov Model (DHMM) Chatter Dynamic Pattern Recognition Prediction Vector Quantification

作者: Jing KANG Chang-jian FENG Hong-ying HU Qiang SHAO

作者单位: Department of mechanical engineering Dalian Nationalities University, Dalian (116600), China

会议类型: 国际会议

会议名称: 2007 IEEE International Conference on Automation and Lofistics

会议地点: 山东济南

会议语种:英文

在线出版日期: 2007-08-18（万方平台首次上网日期，不代表论文的发表时间）