论文信息 - A back-propagation algorithm applied to tool wear monitoring

A back-propagation algorithm applied to tool wear monitoring

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.

Y. G. Srinivasa | S. Purushothaman | S. Purushothaman | Y. Srinivasa

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