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In this paper, a feed-forward neural network is used to on-line monitor electrical discharge machining (EDM) processes. The relationships between tool-workpiece gap signals and various pulse types are established, based on the neural network through the back-propagation learning algorithm. As a result, the developed neural network can be used to monitor varying machining conditions in EDM. Experimental...
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