Author:
Torres Fernando,Griffin James
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Mechanical Engineering
Reference26 articles.
1. Deshpande, A. and Pieper, R., “Legacy Machine Monitoring Using Power Signal Analysis,” Proc. of International Manufacturing Sience and Engineering Conference, Vol. 2, pp. 207–214, 2011.
2. Burke, L. I. and Rangwala, S., “Tool Condition Monitoring in Metal Cutting: A Neural Network Approach,” Journal of Intelligent Manufacturing, Vol. 2, No. 5, pp. 269–280, 1991.
3. Jemielniak, K., Kwiatkowski, L., and Wrzosek, P., “Diagnosis of Tool Wear based on Cutting Forces and Acoustic Emission Measures as Inputs to a Neural Network,” Journal of Intelligent Manufacturing, Vol. 9, No. 5, pp. 447–455, 1998.
4. Xiaoli, L., Yingxue, Y., and Zhejun, Y., “On-Line Tool Condition Monitoring System with Wavelet Fuzzy Neural Network,” Journal of Intelligent Manufacturing, Vol. 8, No. 4, pp. 271–276, 1997.
5. Venkatesh, K., Zhou, M., and Caudill, R. J., “Design of Artificial Neural Networks for Tool Wear Monitoring,” Journal of Intelligent Manufacturing, Vol. 8, No. 3, pp. 215–226, 1997.
Cited by
9 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