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

• المؤلفون الرئيسيون: Ge, H., Huang, S., Torabi, Amin J., Li, X., Er, Meng Joo, Gan, Oon Peen, Zhai, Lian yin, San, Linn
• مؤلفون آخرون: School of Electrical and Electronic Engineering
• التنسيق: Conference or Workshop Item
• اللغة: English
• منشور في: 2013
• الموضوعات: DRNTU::Engineering::Electrical and electronic engineering
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/101096; http://hdl.handle.net/10220/16312

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...