Application of metaheuristic optimization based support vector machine for milling cutter health monitoring-Reference-Cited by-同舟云学术

Application of metaheuristic optimization based support vector machine for milling cutter health monitoring

Published:2023-05 Issue: Volume:18 Page:200196
ISSN:2667-3053
Container-title:Intelligent Systems with Applications
language:en
Short-container-title:Intelligent Systems with Applications

Author:

Bajaj Naman S.,Patange Abhishek D.^ORCID,Jegadeeshwaran R.,Pardeshi Sujit S.,Kulkarni Kaushal A.,Ghatpande Rohan S.

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,Computer Vision and Pattern Recognition,Signal Processing,Computer Science (miscellaneous)

Reference59 articles.

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3. Multi-sensor heterogeneous data-based online tool health monitoring in milling of IN718 superalloy using OGM (1, N) model and SVM;Babu;Measurement,2022

4. Tool condition monitoring by SVM classification of machined surface images in turning;Bhat;The International Journal of Advanced Manufacturing Technology,2016

5. Tool condition monitoring (TCM) – the status of research and industrial application;Byrne;CIRP Annals,1995

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