- Tytuł:
- Monitoring the gas turbine start-up phase on a platform using a hierarchical model based on multi-layer perceptron networks
- Autorzy:
-
Niksa-Rynkiewicz, Tacjana
Witkowska, Anna
Głuch, Jerzy
Adamowicz, Marcin - Powiązania:
- https://bibliotekanauki.pl/articles/32898208.pdf
- Data publikacji:
- 2022
- Wydawca:
- Politechnika Gdańska. Wydział Inżynierii Mechanicznej i Okrętownictwa
- Tematy:
-
industrial gas turbine
start-up monitoring
artificial neural network
hierarchical system - Opis:
- Very often, the operation of diagnostic systems is related to the evaluation of process functionality, where the diagnostics is carried out using reference models prepared on the basis of the process description in the nominal state. The main goal of the work is to develop a hierarchical gas turbine reference model for the estimation of start-up parameters based on multi-layer perceptron neural networks. A functional decomposition of the gas turbine start-up process was proposed, enabling a modular analysis of selected parameters of the process. Real data sets obtained from observations of the turbo-generator set located on a North Sea platform were used.
- Źródło:
-
Polish Maritime Research; 2022, 4; 123-131
1233-2585 - Pojawia się w:
- Polish Maritime Research
- Dostawca treści:
- Biblioteka Nauki
Artykuł