Turn-to-Turn Short Circuit Diagnostic Improvement Method Based on ANN for Synchronous Generator Excitation Winding

V.I. Polishchuk; E.O. Kuleshova; Yuliya Z. Vassilyeva

doi:10.4028/www.scientific.net/AMM.792.51

Paper Titles

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Investigation of Non-Stationary Processes in a Nonlinear Inductor with the Massive Magnetic Core by Structured Modeling Methods
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Building the Structure and the Neuroemulator Angular Velocity's Learning Algorithm Selection of the Electric Drive of TVR-IM Type
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Turn-to-Turn Short Circuit Diagnostic Improvement Method Based on ANN for Synchronous Generator Excitation Winding
p.51

Mathematical Model of Synchronous Generator without Damper Windings which is Equipped with an Automatic Stabiliser
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Investigation of Synchronization Properties of PM Machines with Fractional Slot Concentrated Windings
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 792Turn-to-Turn Short Circuit Diagnostic Improvement...

Turn-to-Turn Short Circuit Diagnostic Improvement Method Based on ANN for Synchronous Generator Excitation Winding

Abstract:

The paper describes the determination method of quasi-reactive power for synchronous generator turn-to-turn short circuit diagnostics. A proposed method allows to determine the relation between the exciting current and quasi-reactive power at the generator leading to a high probability. This relation is the basis of the determination method of turn-to-turn short circuit availability and its severity.

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Periodical:

Applied Mechanics and Materials (Volume 792)

Pages:

51-55

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.792.51

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Online since:

September 2015

Authors:

V.I. Polishchuk, E.O. Kuleshova, Yuliya Z. Vassilyeva

Keywords:

Artificial Neural Network (ANN), Reactive Power, Synchronous Generator, Turn-To-Turn Short Circuit

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References

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