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Monitoring Regenerative Heat Exchanger in Steam Power Plant by Making Use of the Recurrent Neural Network
Abstract
Artificial Intelligence algorithms are being increasingly used in industrial applications. Their important function is to support operation of diagnostic systems. This paper pesents a new approach to the monitoring of a regenerative heat exchanger in a steam power plant, which is based on a specific use of the Recurrent Neural Network (RNN). The proposed approach was tested using real data. This approach can be easily adapted to similar monitoring applications of other industrial dynamic objects.
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Authors (6)
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Krzysztof Cpałka prof. dr hab. inż.
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Marcin Zalasiński Dr hab. inż.
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Andrzej Cader prof.
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- Accepted or Published Version
- DOI:
- Digital Object Identifier (open in new tab) 10.2478/jaiscr-2021-0009
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- Category:
- Articles
- Type:
- artykuły w czasopismach
- Published in:
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Journal of Artificial Intelligence and Soft Computing Research
no. 11,
pages 143 - 155,
ISSN: 2083-2567 - Language:
- English
- Publication year:
- 2021
- Bibliographic description:
- Niksa-Rynkiewicz T., Szewczuk-Krypa N., Witkowska A., Cpałka K., Zalasiński M., Cader A.: Monitoring Regenerative Heat Exchanger in Steam Power Plant by Making Use of the Recurrent Neural Network// Journal of Artificial Intelligence and Soft Computing Research -Vol. 11,iss. 2 (2021), s.143-155
- DOI:
- Digital Object Identifier (open in new tab) 10.2478/jaiscr-2021-0009
- Verified by:
- Gdańsk University of Technology
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