Abstract
This paper proposes a manufacturing quality prediction method, called MTF-CLSTM, to integrate the Markov transition field (MTF) model and the convolutional long short-term memory (CLSTM) neural network for wire electrical discharge machining (WEDM). Experiments are conducted to evaluate the proposed method in terms of the mean absolute percentage error (MAPE). Experimental results show that the proposed method outperforms a related method proposed recently.
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