Gated Recurrent Unit Autoencoder for Fault Detection in Penicillin Fermentation Process-Reference-Cited by-同舟云学术

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Gated Recurrent Unit Autoencoder for Fault Detection in Penicillin Fermentation Process

Published:2023 Issue: Volume: Page:86-95
ISSN:2367-3370
Container-title:Proceedings of the Seventh International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’23)
language:
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Author:

Petrovski Andrei,Arifeen Murshedul,Petrovski Sergei

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-43789-2_8

Reference19 articles.

1. Abbasi, M.A., Khan, A.Q., Mustafa, G., Abid, M., Khan, A.S., Ullah, N.: Data-driven fault diagnostics for industrial processes: an application to penicillin fermentation process. IEEE Access 9, 65977–65987 (2021)

2. Anon.: Gated recurrent units (gru). webpage (2023). https://d2l.ai/chapter_recurrent-modern/gru.html

3. Arifeen, M., Ghosh, T., Islam, R., Ashiquzzaman, A., Yoon, J., Kim, J.: Autoencoder based consensus mechanism for blockchain-enabled industrial internet of things. Internet Things 19, 100575 (2022)

4. Arifeen, M., Petrovski, A.: Bayesian optimized autoencoder for predictive maintenance of smart packaging machines. In: 2023 IEEE 6th International Conference on Industrial Cyber-Physical Systems (ICPS), pp. 1–6. IEEE (2023)

5. Arifeen, M., Petrovski, A., Petrovski, S.: Automated microsegmentation for lateral movement prevention in industrial internet of things (iiot). In: 2021 14th International Conference on Security of Information and Networks (SIN), vol. 1, pp. 1–6. IEEE (2021)

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1. Temporal Graph Convolutional Autoencoder based Fault Detection for Renewable Energy Applications;2024 IEEE 7th International Conference on Industrial Cyber-Physical Systems (ICPS);2024-05-12

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