Markov Transition Field and Convolutional Long Short-Term Memory Neural Network for Manufacturing Quality Prediction

Jehn Ruey Jiang; Cheng Tai Yen

doi:10.1109/ICCE-Taiwan49838.2020.9258285

Markov Transition Field and Convolutional Long Short-Term Memory Neural Network for Manufacturing Quality Prediction

Jehn Ruey Jiang, Cheng Tai Yen

Department of Computer Science and Information Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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.

Original language	English
Title of host publication	2020 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2020
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728173993
DOIs	https://doi.org/10.1109/ICCE-Taiwan49838.2020.9258285
State	Published - 28 Sep 2020
Event	7th IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2020 - Taoyuan, Taiwan Duration: 28 Sep 2020 → 30 Sep 2020

Publication series

Name	2020 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2020

Conference

Conference	7th IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2020
Country/Territory	Taiwan
City	Taoyuan
Period	28/09/20 → 30/09/20

Access to Document

10.1109/ICCE-Taiwan49838.2020.9258285

Cite this

Jiang, J. R., & Yen, C. T. (2020). Markov Transition Field and Convolutional Long Short-Term Memory Neural Network for Manufacturing Quality Prediction. In 2020 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2020 [9258285] (2020 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCE-Taiwan49838.2020.9258285

Jiang, Jehn Ruey ; Yen, Cheng Tai. / Markov Transition Field and Convolutional Long Short-Term Memory Neural Network for Manufacturing Quality Prediction. 2020 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2020. Institute of Electrical and Electronics Engineers Inc., 2020. (2020 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2020).

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title = "Markov Transition Field and Convolutional Long Short-Term Memory Neural Network for Manufacturing Quality Prediction",

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.",

author = "Jiang, {Jehn Ruey} and Yen, {Cheng Tai}",

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Jiang, JR & Yen, CT 2020, Markov Transition Field and Convolutional Long Short-Term Memory Neural Network for Manufacturing Quality Prediction. in 2020 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2020., 9258285, 2020 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2020, Institute of Electrical and Electronics Engineers Inc., 7th IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2020, Taoyuan, Taiwan, 28/09/20. https://doi.org/10.1109/ICCE-Taiwan49838.2020.9258285

Markov Transition Field and Convolutional Long Short-Term Memory Neural Network for Manufacturing Quality Prediction. / Jiang, Jehn Ruey; Yen, Cheng Tai.

2020 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2020. Institute of Electrical and Electronics Engineers Inc., 2020. 9258285 (2020 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2020).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Jiang, Jehn Ruey

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PY - 2020/9/28

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N2 - 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.

AB - 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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T3 - 2020 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2020

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PB - Institute of Electrical and Electronics Engineers Inc.

Y2 - 28 September 2020 through 30 September 2020

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Jiang JR, Yen CT. Markov Transition Field and Convolutional Long Short-Term Memory Neural Network for Manufacturing Quality Prediction. In 2020 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2020. Institute of Electrical and Electronics Engineers Inc. 2020. 9258285. (2020 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2020). https://doi.org/10.1109/ICCE-Taiwan49838.2020.9258285

Markov Transition Field and Convolutional Long Short-Term Memory Neural Network for Manufacturing Quality Prediction

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