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Abstract
The paper describes possibility of steam turbine control stage neural model creation. It is of great importance because wider application of green energy causes severe conditions for control of energy generation systems operation Results of chosen steam turbine of 200 MW power measurements are applied as an example showing way of neural model creation. They serve as training and testing data of such neural model. Relatively simple set of nozzle boxes neural models consisting control stage is applied. They act as a neural regresor. Research study on ways of creation mentioned neural model is the main purpose of the paper. Finally accurate neural tool is created. It can serve as a proper pattern of control stage operation for engineers tuning turbine control equipment. Another way of application consists in usage as a component of turbomachinery heat and flow diagnostic programs. These programs take mainly into account of technical objects efficiency degradation.
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Keywords
Details
- Category:
- Monographic publication
- Type:
- rozdział, artykuł w książce - dziele zbiorowym /podręczniku w języku o zasięgu międzynarodowym
- Language:
- English
- Publication year:
- 2021
- Bibliographic description:
- Głuch J., Drosińska-Komor M.: Neural Modelling of Steam Turbine Control Stage// Advances in Diagnostics of Processes and Systems/ : , 2020, s.177-128
- DOI:
- Digital Object Identifier (open in new tab) 10.1007/978-3-030-58964-6
- Verified by:
- Gdańsk University of Technology
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