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

Internet

https://www.mdpi.com/2076-3417/11/13/5922

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