Identification of Field Model’s Parameters in the Turbine Generator end Zone Using Measured Data
Ilona Iatcheva () and
Rumiana Stancheva ()
Additional contact information
Ilona Iatcheva: Technical University of Sofia, Department of Theoretical Electrical Engineering
Rumiana Stancheva: Technical University of Sofia, Department of Theoretical Electrical Engineering
A chapter in Optimization and Inverse Problems in Electromagnetism, 2003, pp 277-286 from Springer
Abstract:
Abstract The present paper deals with an identification problem in the end zone of turbine generator. Parameters of the mathematical model of the coupled — electromagnetic and temperature fields have been determined, using measured temperature data on the surface of the flange and fingers in the end zone. Different modes (rated, at the leading power factor and at the lagging power factor) are considered. Coupled field problem — electromagnetic and temperature field distribution in the end zone of a 200 MW turbogenerator is studied using FEM for forward problem. The secondary model of the temperature values at points with measuring control has been obtained using combination of response surface methodology and design of experiments. The identification problem has been solved as optimisation one. The optimisation criterion used was the quadratic sum of the differences between the computed and measured temperature data.
Keywords: Identification; Optimization; response surface methodology; design of experiments; finite element method; coupled problems; turbine generators; end zone. (search for similar items in EconPapers)
Date: 2003
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-94-017-2494-4_28
Ordering information: This item can be ordered from
http://www.springer.com/9789401724944
DOI: 10.1007/978-94-017-2494-4_28
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().