Tool wear monitoring using an online, automatic and low cost system based on local texture-Reference-Cited by-同舟云学术

Tool wear monitoring using an online, automatic and low cost system based on local texture

Published:2018-11 Issue: Volume:112 Page:98-112
ISSN:0888-3270
Container-title:Mechanical Systems and Signal Processing
language:en
Short-container-title:Mechanical Systems and Signal Processing

Author:

García-Ordás María Teresa,Alegre-Gutiérrez Enrique,Alaiz-Rodríguez Rocío,González-Castro Víctor

Funder

Spanish Ministry of Economy and Competitiveness and the PIRTU program of the Regional Government of Castilla y León

Publisher

Elsevier BV

Subject

Computer Science Applications,Mechanical Engineering,Aerospace Engineering,Civil and Structural Engineering,Signal Processing,Control and Systems Engineering

Reference46 articles.

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2. Review on corrosion-wear resistance performance of materials in molten aluminum and its alloys;Zhang;Trans. Nonferr. Met. Soc. China,2015

3. Real-time cutting tool condition monitoring in milling;Cus;Strojniski vestnik-J. Mech. Eng.,2011

4. Real-time tool wear monitoring in milling using a cutting condition independent method;Nouri;Int. J. Mach. Tools Manuf,2015

5. Tool condition monitoring (tcm) using neural networks;Liu;Int. J. Adv. Manuf. Technol.,2015

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