Paper Title:
Application of Continuous Wavelet Features and Multi-Class Sphere SVM to Chatter Prediction
  Abstract

A cutting chatter forecast method based on continuous wavelet feature and multi-class spherical Support Vector Machines is studied in this paper. The method based on continuous wavelet transform extracts the cutting vibration signal feature and uses multi-class spherical Support Vector Machines to discern the chatter. In order to simplify computational complexity when binary classification SVM turn to multi-class classification, the algorithm makes every kind of samples have a spherical SVM. In the feature space identified the test sample and spherical SVM centre distance as a decision-making function. Experiments show that using combine spherical SVM with continuous wavelet feature Vector has good recognition effect in the milling chatter recognition system. Chatter inoculation forecast accuracy reaches 95%, and chatter outbreak forecast accuracy reaches 97.5%.

  Info
Periodical
Edited by
Chengyong Wang, Ning He, Ming Chen and Chuanzhen Huang
Pages
675-680
DOI
10.4028/www.scientific.net/AMR.188.675
Citation
S. Wu, D.K. Jia, X.L. Liu, F.G. Yan , Y.F. Li, "Application of Continuous Wavelet Features and Multi-Class Sphere SVM to Chatter Prediction", Advanced Materials Research, Vol. 188, pp. 675-680, 2011
Online since
March 2011
Export
Price
$32.00
Share

In order to see related information, you need to Login.

In order to see related information, you need to Login.

Authors: Chun Liang Zhang, Li Ping Chen
Abstract:The full automation of machine tools has gained substantial importance in manufacturing industries in recent years, as machining technology...
1160
Authors: Zhe He Yao, Xin Li, Zi Chen Chen
Abstract:Self-chatter is a serious problem in cutting process. This paper aims to solve the problem by establishing time series model of vibration...
2712
Authors: Qiang Shao, Chang Jian Feng, Wen Long Li
Abstract:To distinguish chatter gestation, chatter recognition method based on hybrid KPCA(Kernel Principal Compenent Analysis) and SVM(Support Vector...
88
Authors: Yong Liang Zhang, Zhi Yuan Li
Chapter 1: Materials Science and Engineering
Abstract:Cutting chatter is a kind of severe vibration generating from the interaction of machine tool system and cutting process and it will...
377
Authors: Qiang Shao, Chang Jian Feng
Chapter 2: Innovative Design Methodology
Abstract:To distinguish chatter gestation, chatter recognition method based on hybrid PCA(Principal Compenent Analysis) and SVM(Support Vector...
190