Monitoring the Gas Turbine Start-Up Phase on a Platform Using a Hierarchical Model Based on Multi-Layer Perceptron Networks

Autor: Niksa-Rynkiewicz Tacjana, Witkowska Anna, Głuch Jerzy, Adamowicz Marcin
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: Polish Maritime Research, Vol 29, Iss 4, Pp 123-131 (2022)
Druh dokumentu: article
ISSN: 2083-7429
DOI: 10.2478/pomr-2022-0050
Popis: 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.
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