301. A back-propagation algorithm applied to tool wear monitoring
- Author
-
S. Purushothaman and Y.G. Srinivasa
- Subjects
Engineering ,ComputingMethodologies_PATTERNRECOGNITION ,Machine tools ,Neural networks ,Pattern recognition systems ,Wear of materials ,Back propagation algorithm ,Tool wear monitoring ,Worn out tool ,Algorithms ,Artificial neural network ,business.industry ,Mechanical Engineering ,Artificial intelligence ,Pattern recognition problem ,Tool wear ,Perceptron ,business ,Industrial and Manufacturing Engineering - Abstract
In this paper, a distributed neural network has been applied to a pattern recognition problem for classification of tool wear in a turning operation to discriminate between a worn-out tool and a fresh tool. A multilayered perceptron with back-propagation algorithm has been used. The network was trained offline using 30 patterns each of six inputs. Using the weights obtained during training, fresh patterns were tested. Results for six fresh patterns are presented.
- Published
- 1994