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Real-Time Production Monitoring approach for Smart Manufacturing with Artificial Intelligence techniques

Abstract : Production monitoring in real-time is a very important problem in smart manufacturing. It helps enterprises to timely detect abnormalities in the production process and then guarantee the product quality and reduce waste. In this paper, we develop a novel method to monitor the real-time production based on the Convolution Neural Network and the Support Vector Data Description algorithm. The numerical result shows that our proposed method leads to high efficient on the testing data.
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https://hal.archives-ouvertes.fr/hal-02268131
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Submitted on : Tuesday, August 20, 2019 - 1:46:05 PM
Last modification on : Thursday, December 1, 2022 - 11:24:12 AM
Long-term archiving on: : Thursday, January 9, 2020 - 7:15:06 PM

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  • HAL Id : hal-02268131, version 1

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Q.T Nguyen, H D Nguyen, Kim Phuc Tran, P. Castagliola, E Frénod. Real-Time Production Monitoring approach for Smart Manufacturing with Artificial Intelligence techniques. ISSAT International Conference on Data Science in Business, Finance and Industry, Jul 2019, Da Nang, Vietnam. pp.100-103. ⟨hal-02268131⟩

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