Paper Title:
Research of Intelligent Tool Condition Monitoring Technology Based on Multi-Information Fusion
  Abstract

A new intelligent tool condition monitoring technique for metal cutting process is proposed. Fiest, the frequency spectrum analysis of the audio signal during cutting process, the pixel space projection analysis and equal gray pace analysis of the images of machined workpiece surface are introduced. Then combined the results of the audio signal analysis and the workpiece surface image analysis with artificial neural network, we implemented the intelligent tool condition monitoring based on multi-information fusion. The experimental results indicate that this method can recognize the tool condition effectively and improve the dependability of tool condition monitoring.

  Info
Periodical
Materials Science Forum (Volumes 471-472)
Edited by
Xing Ai, Jianfeng Li and Chuanzhen Huang
Pages
187-191
DOI
10.4028/www.scientific.net/MSF.471-472.187
Citation
S. M. Ji, L. Zhang, Y.H. Wan, X. Zhang, J. L. Yuan, L.B. Zhang, "Research of Intelligent Tool Condition Monitoring Technology Based on Multi-Information Fusion", Materials Science Forum, Vols. 471-472, pp. 187-191, 2004
Online since
December 2004
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