- Tytuł:
- Monitoring regenerative heat exchanger in steam power plant by making use of the recurrent neural network
- Autorzy:
-
Niksa-Rynkiewicz, Tacjana
Szewczuk-Krypa, Natalia
Witkowska, Anna
Cpałka, Krzysztof
Zalasiński, Marcin
Cader, Andrzej - Powiązania:
- https://bibliotekanauki.pl/articles/2031128.pdf
- Data publikacji:
- 2021
- Wydawca:
- Społeczna Akademia Nauk w Łodzi. Polskie Towarzystwo Sieci Neuronowych
- Tematy:
-
recurrent neural network
intelligent industrial monitoring
Almeida–Pineda recurrent back-propagation
regenerative heat exchanger
steam power plant - Opis:
- Artificial Intelligence algorithms are being increasingly used in industrial applications. Their important function is to support operation of diagnostic systems. This paper presents 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.
- Źródło:
-
Journal of Artificial Intelligence and Soft Computing Research; 2021, 11, 2; 143-155
2083-2567
2449-6499 - Pojawia się w:
- Journal of Artificial Intelligence and Soft Computing Research
- Dostawca treści:
- Biblioteka Nauki
Artykuł