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Hybrid HMM/SVM method for predicting of cutting chatter

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成果类型:
期刊论文
作者:
Jiang Yongtao;Zhang Chunliang*
通讯作者:
Zhang Chunliang
作者机构:
[Zhang Chunliang; Jiang Yongtao] Nanhua Univ, Sch Mech Engn, Hengyang 421001, Hunan, Peoples R China.
通讯机构:
[Zhang Chunliang] N
Nanhua Univ, Sch Mech Engn, Hengyang 421001, Hunan, Peoples R China.
语种:
英文
关键词:
cutting chatter;wavelet packet decomposition;SVM;scalar quantization;HMM
期刊:
Proceedings of SPIE - The International Society for Optical Engineering
ISSN:
0277-786X
年:
2006
卷:
6280
基金类别:
National Natural Science Foundation of China [50375070]; Scientific Research Fund of Hunan Provincial Education Department [01B018]
机构署名:
本校为第一且通讯机构
院系归属:
机械工程学院
摘要:
According to the properties of cutting chatter, a new chatter forecast system has been developed based on Hidden Markov Model (HMM) and Support Vector Machine (SVM). This system uses HMM as the recognition method and SVM as the prediction method. At the same time, means like wavelet package decomposition are also employed to extract the cutting features. The basic idea and general steps of this method are as follow. Firstly, the cutting signals are analyzed step by step in the same interval using wavelet packet decomposition. Secondly, the energy in every spectrum section are calculated and sc...

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