The monitoring of the turning tool wear process using an artificial neural network. Part 2: The data processing and the use of artificial neural network on monitoring of the tool wear

Author:

Balan G C1,Epureanu A

Affiliation:

1. Universitatea Dunarea de Jos din Galati, Galati, Romania

Abstract

An artificial neural network (ANN) is used to analyse data obtained on tool wear. The ANN is compared with the fuzzy c-means method.

Publisher

SAGE Publications

Subject

Industrial and Manufacturing Engineering,Mechanical Engineering

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Machine vision-based gradient-boosted tree and support vector regression for tool life prediction in turning;The International Journal of Advanced Manufacturing Technology;2023-02-27

2. Evaluation and neural network prediction of the wear behaviour of SiC microparticle-filled epoxy resins;Journal of the Brazilian Society of Mechanical Sciences and Engineering;2021-04-24

3. Neural network approach for automatic image analysis of cutting edge wear;Mechanical Systems and Signal Processing;2017-05

4. Camera-based Automatic System for Tool Measurements and Recognition;Procedia Technology;2016

5. A support vector machine-based online tool condition monitoring for milling using sensor fusion and a genetic algorithm;Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture;2012-08-28

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