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Monitoring the gas turbine start-up phase on the platform using a hierarchical model based on Multi-Layer Perceptron networks
Abstract
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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Authors (4)
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Marcin Adamowicz mgr inż
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- Accepted or Published Version
- DOI:
- Digital Object Identifier (open in new tab) 10.2478/pomr-2022-0050
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- Category:
- Articles
- Type:
- artykuły w czasopismach
- Published in:
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Polish Maritime Research
no. 29,
pages 123 - - 131,
ISSN: 1233-2585 - Language:
- English
- Publication year:
- 2022
- Bibliographic description:
- Adamowicz M., Niksa-Rynkiewicz T., Głuch J., Witkowska A.: Monitoring the gas turbine start-up phase on the platform using a hierarchical model based on Multi-Layer Perceptron networks// Polish Maritime Research -Vol. Volume 29,iss. Issue 4 (2022), s.123 --131
- DOI:
- Digital Object Identifier (open in new tab) 10.2478/pomr-2022-0050
- Sources of funding:
-
- COST_FREE
- Verified by:
- Gdańsk University of Technology
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