Author:
Wickramarachchi Chandula T.,Rogers Timothy J.,Leahy Wayne,Cross Elizabeth J.
Publisher
Springer International Publishing
Reference18 articles.
1. Das, S., Roy, R., Chattopadhyay, A.B.: Evaluation of wear of turning carbide inserts using neural networks. Int. J. Mach. Tools Manuf. 36, 789–797 (1996)
2. Das, S., Bandyopadhyay, P.P., Chattopadhyay, A.B.: Neural-networks-based tool wear monitoring in turning medium carbon steel using a coated carbide tool. J. Mater. Process. Technol. 63(1–3), 187–192 (1997)
3. Dimla, D.E., Lister, P.M.: On-line metal cutting tool condition monitoring. II: tool-state classification using multi-layer perceptron neural networks. Int. J. Mach. Tools Manuf. 40(5), 769–781 (2000)
4. Sun, J., Rahman, M., Wong, Y.S., Hong, G.S.: Multiclassification of tool wear with support vector machine by manufacturing loss consideration. Int. J. Mach. Tools Manuf. 44(11), 1179–1187 (2004)
5. Binsaeid, S., Asfour, S., Cho, S., Onar, A.: Machine ensemble approach for simultaneous detection of transient and gradual abnormalities in end milling using multisensor fusion. J. Mater. Process. Technol. 209, 4728–4738 (2009)
Cited by
1 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