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

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...

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Bibliographic Details
Main Authors: Manas Bazarbaev, Tserenpurev Chuluunsaikhan, Hyoseok Oh, Ga-Ae Ryu, Aziz Nasridinov, Kwan-Hee Yoo
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Sensors
Subjects:
continuous casting machine
deep learning
induction furnace
time-series working patterns
auxiliary classifier generative adversarial network
Online Access:https://www.mdpi.com/1424-8220/22/1/29

Internet

https://www.mdpi.com/1424-8220/22/1/29

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