Tool condition monitoring in metal cutting: A neural network approach
- 1 October 1991
- journal article
- Published by Springer Nature in Journal of Intelligent Manufacturing
- Vol. 2 (5) , 269-280
- https://doi.org/10.1007/bf01471175
Abstract
No abstract availableKeywords
This publication has 11 references indexed in Scilit:
- Artificial neural networks, back propagation, and the Kelley-Bryson gradient procedureJournal of Guidance, Control, and Dynamics, 1990
- Sensor Integration Using Neural Networks for Intelligent Tool Condition MonitoringJournal of Engineering for Industry, 1990
- Adaptive, associative, and self-organizing functions in neural computingApplied Optics, 1987
- An introduction to computing with neural netsIEEE ASSP Magazine, 1987
- Competitive Learning: From Interactive Activation to Adaptive ResonanceCognitive Science, 1987
- A Critical Review of Sensors for Unmanned MachiningCIRP Annals, 1983
- Quantitative Relationships for Acoustic Emission from Orthogonal Metal CuttingJournal of Engineering for Industry, 1981
- Adaptive pattern classification and universal recoding: I. Parallel development and coding of neural feature detectorsBiological Cybernetics, 1976
- Quantitative measurements of acoustic emission related to its microscopic mechanismsThe Journal of the Acoustical Society of America, 1975
- The dependence of acoustic emission on strain rate in 7075-T6 aluminumExperimental Mechanics, 1974