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sensors
2022년 22권 29호 p.1 ~ p.26
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Generation of Time-Series Working Patterns for Manufacturing High-Quality Products through Auxiliary Classifier Generative Adversarial Network
Generation of Time-Series Working Patterns for Manufacturing High-Quality Products through Auxiliary Classifier Generative Adversarial Network
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Manas Bazarbaev
Tserenpurev Chuluunsaikhan, Hyoseok Oh, Ga-Ae Ryu, Aziz Nasridinov, Kwan-Hee Yoo
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- Abstract -
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Abstract: Product quality is a major concern in manufacturing. In the metal processing industry,
low-quality products must be remanufactured, which requires additional labor, money, and time.
Therefore, user-controllable variables for machines and raw material compositions are key factors
for ensuring product quality. In this study, we propose a method for generating the time-series
working patterns of the control variables for metal-melting induction furnaces and continuous casting
machines, thus improving product quality by aiding machine operators. We used an auxiliary
classifier generative adversarial network (AC-GAN) model to generate time-series working patterns
of two processes depending on product type and additional material data. To check accuracy, the
difference between the generated time-series data of the model and the ground truth data was
calculated. Specifically, the proposed model results were compared with those of other deep learning
models: multilayer perceptron (MLP), convolutional neural network (CNN), long short-term memory
(LSTM), and gated recurrent unit (GRU). It was demonstrated that the proposed model outperformed
the other deep learning models. Moreover, the proposed method generated different time-series data
for different inputs, whereas the other deep learning models generated the same time-series data.
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- Key Words -
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continuous casting machine, deep learning, induction furnace, time-series working patterns, auxiliary classifier generative adversarial network
continuous casting machine, deep learning, induction furnace, time-series working patterns, auxiliary classifier generative adversarial network
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- 논문 구분 -
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국외전문학술지
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- 사사 정보 -
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- Downloads -
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sensors-22-00029-v2.pdf
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