Monitoring Regenerative Heat Exchanger in Steam Power Plant by Making Use of the Recurrent Neural Network-Reference-Cited by-同舟云学术

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

Published:2021-01-29 Issue:2 Volume:11 Page:143-155
ISSN:2083-2567
Container-title:Journal of Artificial Intelligence and Soft Computing Research
language:en
Short-container-title:

Author:

Niksa-Rynkiewicz Tacjana¹,Szewczuk-Krypa Natalia¹,Witkowska Anna¹,Cpałka Krzysztof²,Zalasiński Marcin²,Cader Andrzej³⁴

Affiliation:

1. Gdansk University of Technology , Faculty of Ocean Engineering and Ship Technology , 1112 Gabriela Narutowicza Street , Gdansk , Poland

2. Czestochowa University of Technology , Department of Intelligent Computer Systems , Al. Armii Krajowej 36 , Czestochowa , Poland

3. University of Social Sciences , Information Technology Institute , Lodz , Poland

4. Clark University , Worcester , MA , USA

Abstract

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.

Publisher

Walter de Gruyter GmbH

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Hardware and Architecture,Modelling and Simulation,Information Systems

Link

https://www.sciendo.com/pdf/10.2478/jaiscr-2021-0009

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