<abstract xmlns="http://www.w3.org/1999/xhtml"><p>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.</p></abstract>

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.

Monitoring Regenerative Heat Exchanger in Steam Power Plant by Making Use of the Recurrent Neural Network

Faculty of Ocean Engineering and Ship Technology

Department of Intelligent Computer Systems

Journal of Artificial Intelligence and Soft Computing Research

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Artificial Intelligence algorithms are being increasingly used in industrial applications. Their important function is to support operation of diagnostic...

Monitoring Regenerative Heat Exchanger in Steam Power Plant by Making Use of the Recurrent Neural Network

Publié en ligne: 29 janv. 2021

Pages: 143 - 155

Reçu: 07 juil. 2020

Accepté: 22 déc. 2020

DOI: https://doi.org/10.2478/jaiscr-2021-0009

Mots clés
recurrent neural network, intelligent industrial monitoring, Almeida–Pineda recurrent back-propagation, regenerative heat exchanger, steam power plant

© 2021 Tacjana Niksa-Rynkiewicz et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Monitoring Regenerative Heat Exchanger in Steam Power Plant by Making Use of the Recurrent Neural Network

Publié en ligne: 29 janv. 2021

Pages: 143 - 155

Reçu: 07 juil. 2020

Accepté: 22 déc. 2020

DOI: https://doi.org/10.2478/jaiscr-2021-0009

Mots clésrecurrent neural network, intelligent industrial monitoring, Almeida–Pineda recurrent back-propagation, regenerative heat exchanger, steam power plant

© 2021 Tacjana Niksa-Rynkiewicz et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Mots clés
recurrent neural network, intelligent industrial monitoring, Almeida–Pineda recurrent back-propagation, regenerative heat exchanger, steam power plant