Novel On-line Monitoring Method of Cutting Chatter Based on Neural Network Pattern Recognition Technique

2007 ◽  
Author(s):  
Hongyan Shi ◽  
Hong Hu
Keyword(s):  
Neural Network ◽  
Pattern Recognition ◽  
Pattern Recognition Technique ◽  
Monitoring Method ◽  
Cutting Chatter ◽  
On Line ◽  
Network Pattern ◽  
Recognition Technique

Monitoring Drilling Wear States by a Fuzzy Pattern Recognition Technique

1988 ◽  
Vol 110 (3) ◽  
pp. 297-300 ◽  
Author(s):  
P. G. Li ◽  
S. M. Wu
Keyword(s):  
Pattern Recognition ◽  
Pattern Recognition Technique ◽  
New Approach ◽  
Fuzzy Pattern Recognition ◽  
Fuzzy Pattern ◽  
On Line ◽  
Tool Replacement ◽  
Simulation Results ◽  
Recognition Technique ◽  
Fuzzy C Means Algorithm

This paper introduces a new approach for on-line monitoring of drill wear states by using a fuzzy C-means algorithm. Experimental and simulation results have shown that drill wear conditions can be represented by four fuzzy grades. They are: “initial,” “small,” “normal,” and “severe.” The grade “severe” is proposed to be used as the prediction of tool replacement. This fuzzy technique is more adequate than conventional pattern recognition technqiues.

A Variant Group Assignment Three Dimensional Model Using Pattern Recognition Technique

2019 ◽  
Vol 10 (6) ◽  
pp. 1382-1394
Author(s):  
R. Vijayalakshmi ◽  
V. K. Soma Sekhar Srinivas ◽  
E. Manjoolatha ◽  
G. Rajeswari ◽  
M. Sundaramurthy
Keyword(s):  
Pattern Recognition ◽  
Three Dimensional ◽  
Dimensional Model ◽  
Three Dimensional Model ◽  
Pattern Recognition Technique ◽  
Group Assignment ◽  
Recognition Technique

Detection of odorants using an array of piezoelectric crystals and neural-network pattern recognition

1991 ◽  
Vol 249 (2) ◽  
pp. 323-329 ◽  
Author(s):  
S.-M. Chang ◽  
Y. Iwasaki ◽  
M. Suzuki ◽  
E. Tamiya ◽  
I. Karube ◽  
...  
Keyword(s):  
Neural Network ◽  
Pattern Recognition ◽  
Piezoelectric Crystals ◽  
Network Pattern
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