Feature selection for tool wear monitoring: A comparative study

2012 ◽  
Author(s):  
Omid Geramifard ◽  
Jian-Xin Xu ◽  
Jun-Hong Zhou ◽  
Xiang Li ◽  
Oon Peen Gan
Keyword(s):  
Feature Selection ◽  
Tool Wear ◽  
Comparative Study ◽  
Tool Wear Monitoring ◽  
Wear Monitoring ◽  
Selection For

Robust Tool Wear Monitoring Using Systematic Feature Selection in Turning Processes With Consideration of Uncertainties

2018 ◽  
Vol 140 (8) ◽  
Author(s):  
Bin Zhang ◽  
Christopher Katinas ◽  
Yung C. Shin
Keyword(s):  
Feature Selection ◽  
Tool Wear ◽  
Low Cost ◽  
Cutting Tools ◽  
Selection Procedure ◽  
Tool Wear Monitoring ◽  
Predictive Tool ◽  
Wear Model ◽  
Systematic Feature ◽  
Wear Monitoring

This paper describes a robust tool wear monitoring scheme for turning processes using low-cost sensors. A feature normalization scheme is proposed to eliminate the dependence of signal features on cutting conditions, cutting tools, and workpiece materials. In addition, a systematic feature selection procedure in conjunction with automated signal preprocessing parameter selection is presented to select the feature set that maximizes the performance of the predictive tool wear model. The tool wear model is built using a type-2 fuzzy basis function network (FBFN), which is capable of estimating the uncertainty bounds associated with tool wear measurement. Experimental results show that the tool wear model built with the selected features exhibits high accuracy, generalized applicability, and exemplary robustness: The model trained using 4140 steel turning test data could predict the tool wear for Inconel 718 turning with a root-mean-square error (RMSE) of 7.80 μm and requests tool changes with a 6% margin on average. Furthermore, the developed method was successfully applied to tool wear monitoring of Ti–6Al–4V alloy despite different mechanisms of tool wear, i.e., crater wear instead of flank wear.

scholarly journals Tool wear monitoring using neuro-fuzzy techniques: a comparative study in a turning process

2010 ◽  
Vol 23 (3) ◽  
pp. 869-882 ◽  
Author(s):  
Agustin Gajate ◽  
Rodolfo Haber ◽  
Raul del Toro ◽  
Pastora Vega ◽  
Andres Bustillo
Keyword(s):  
Tool Wear ◽  
Comparative Study ◽  
Tool Wear Monitoring ◽  
Turning Process ◽  
Neuro Fuzzy ◽  
Wear Monitoring ◽  
Fuzzy Techniques

Tool wear monitoring using acoustic emission in the existence of chatter

1990 ◽  
Vol 28 (10) ◽  
pp. 1861-1869 ◽  
Author(s):  
YOICHI MATSUMOTO ◽  
NGUN TJIANG ◽  
BOBBIE FOOTE ◽  
YNGVE NAERHEIMH
Keyword(s):  
Acoustic Emission ◽  
Tool Wear ◽  
Tool Wear Monitoring ◽  
Wear Monitoring
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