Use of image processing to monitor tool wear in micro milling-Reference-Cited by-同舟云学术

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Use of image processing to monitor tool wear in micro milling

Published:2021-09 Issue: Volume:452 Page:333-340
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Fernández-Robles Laura,Sánchez-González Lidia,Díez-González Javier,Castejón-Limas Manuel,Pérez Hilde

Funder

Ministerio de Economía, Industria y Competitividad, Gobierno de España

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference22 articles.

1. S. Dutta, A. Kanwat, S.K. Pal, R. Sen, Correlation study of tool flank wear with machined surface texture in end milling, Measure. J. Int. Measure. Confed. doi:10.1016/j.measurement.2013.07.015.

2. Tool wear condition monitoring using a sensor fusion model based on fuzzy inference system;Aliustaoglu;Mech. Syst. Signal Process.,2009

3. Monitoring of tool wear using measured machining forces and neuro-fuzzy modelling approaches during machining of gfrp composites;Azmi;Adv. Eng. Software,2015

4. Combining translation-invariant wavelet frames and convolutional neural network for intelligent tool wear state identification;Cao;Comput. Ind.,2019

5. Evaluation of expert system for condition monitoring of a single point cutting tool using principle component analysis and decision tree algorithm;Elangovan;Expert Syst. Appl.,2011

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