Automatic tool state identification in a metal turning operation using MLP neural networks and multivariate process parameters
Author:
Publisher
Elsevier BV
Subject
Industrial and Manufacturing Engineering,Mechanical Engineering
Reference26 articles.
1. Tool wear and failure monitoring techniques for turning - a review;Dan;International Journal of Machine Tools Manufacture,1990
2. Dimla Jr., D. E., Lister, P. M. and Leighton, N. J., An investigation of the sensitivity of a single layer perceptron neural network to tool wear inception during a metal turning process. In Intelligent Engineering Systems Through Artificial Neural Networks, Vol. 6 (ANNIE '96), eds C. H. Dagli, M. Akay, C. L. P. Chen, B. R. Fernandez and J. Ghosh. ASME Press, New York, 1996, pp. 867-873.
3. Dimla Jr., D. E., Lister, P. M. and Leighton, N. J., Application of a back-propagation neural network to tool condition monitoring in a metal turning process. Proceedings of the 32nd International MATADOR Conference, 10-11 July, UMIST Manchester, U.K., 1997, pp. 287-292.
4. Dimla Jr., D. E., Lister, P. M. and Leighton, N. J., A multi-sensor integration method of signals in a metal cutting operation via application of multi-layer perceptron neural networks. Proceedings of the 5th IEE International Conference on Artificial Neural Networks, 7-9 July, Churchill College Cambridge, U.K., 1997, pp. 306-311.
5. Neural network solutions to the tool condition monitoring problem - a critical review of methods;Dimla;International Journal of Machine Tools Manufacture,1997
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