Product Quality Prediction for Wire Electrical Discharge Machining with Markov Transition Fields and Convolutional Long Short-Term Memory Neural Networks

Product Quality Prediction for Wire Electrical Discharge Machining with Markov Transition Fields and Convolutional Long Short-Term Memory Neural Networks

This paper proposes a wire electrical discharge machining (WEDM) product quality prediction method, called MTF-CLSTM, to integrate the Markov transition field (MTF) and the convolutional long short-term memory (CLSTM) neural network. The proposed MTF-CLSTM method can accurately predict WEDM workpiec...

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Bibliographic Details
Main Authors:	Jehn-Ruey Jiang, Cheng-Tai Yen
Format:	Article
Language:	English
Published:	MDPI AG 2021-06-01
Series:	Applied Sciences
Subjects:	Markov transition field convolutional neural network long short-term memory wire electrical discharge machining surface roughness
Online Access:	https://www.mdpi.com/2076-3417/11/13/5922

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