Prediction of Electromagnetic Characteristics in Stator End Parts of a Turbo-Generator Based on MLP and SVR

In order to study the multiple restricted factors and parameters of the eddy current loss of generator end structures, both the multi-layer perceptron (MLP) and support vector regression (SVR) are used to study and predict the mechanism of the synergistic effect of metal shield conductivity, relativ...

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Bibliographic Details
Published in:Energies (Basel) 2021-09, Vol.14 (18), p.5908
Main Authors: Wang, Likun, Sun, Yutian, Kou, Baoquan, Bi, Xiaoshuai, Guo, Hai, Marignetti, Fabrizio, Zhang, Huibo
Format: Article
Language:English
Subjects:
Current loss
data driven
Design
eddy current losses
Eddy current testing
Eddy currents
Electric generators
Electromagnetic properties
Electromagnetic shielding
Electromagnetism
Generators
Hydrogen
Machine learning
Magnetic fields
Mathematical models
multi-layer perceptron
Multilayers
Permeability
Sensors
Support vector machines
support vector regression
Synergistic effect
turbo-generator
Turbogenerators
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Summary:In order to study the multiple restricted factors and parameters of the eddy current loss of generator end structures, both the multi-layer perceptron (MLP) and support vector regression (SVR) are used to study and predict the mechanism of the synergistic effect of metal shield conductivity, relative permeability of clamping plates and structural characteristics of eddy current losses. Based on the eddy current losses of generator end structures under different metal shielding thicknesses and electromagnetic properties, the calculation accuracy of the MLP and SVR is compared. The prediction method gives an effective means for the complex design of the end region of the generator, which reduces the effort of the designers. It also promotes the design efficiency of the electrical generator.
ISSN:1996-1073
1996-1073
DOI:10.3390/en14185908