Adaptive network fuzzy inference system and support vector machine learning for tool wear estimation in high speed milling processes

Adaptive network fuzzy inference system and support vector machine learning for tool wear estimation in high speed milling processes

In metal cutting processes, tool condition monitoring (TCM) plays an important role in maintaining the quality of surface finishing. Monitoring of tool wear in order to prevent surface damage is one of the difficult tasks in the context of TCM. Through early detection, high quality surface finishing...

Full description

Bibliographic Details
Main Authors: Ge, H., Huang, S., Torabi, Amin J., Li, X., Er, Meng Joo, Gan, Oon Peen, Zhai, Lian yin, San, Linn
Other Authors: School of Electrical and Electronic Engineering
Format: Conference Paper
Language:English
Published: 2013
Subjects:
DRNTU::Engineering::Electrical and electronic engineering
Online Access:https://hdl.handle.net/10356/101096
http://hdl.handle.net/10220/16312

Similar Items

Similar Items