Diagnosis of Static Eccentricity in 3-Phase Synchronous Machines using a Pseudo Zero-Sequence Current

Konstantinos N. Gyftakis, Carlos A. Platero, Yucheng Zhang and Santiago Bernal
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Konstantinos N. Gyftakis: School of Engineering, The University of Edinburgh, Edinburgh EH9 3DW, UK
Carlos A. Platero: Departamento de Ingeniería Electrica, Universidad Politecnica de Madrid, 28006 Madrid, Spain
Yucheng Zhang: School of Computing, Electronics and Mathematics, Coventry University, Coventry CV1 2JH, UK
Santiago Bernal: Departamento de Ingeniería Electrica, Universidad Politecnica de Madrid, 28006 Madrid, Spain

Energies, 2019, vol. 12, issue 13, 1-16

Abstract: Large synchronous generators are the heart of the modern world, while producing the vast majority of the electric power consumed globally. Although they are robust devices, they are prone to degradation and failure. If such failures are not detected at an early stage, then the negative impact may be catastrophic in terms of financial costs, repair times, human lives and quality of life. This is the reason for continuous research in the field of condition monitoring aiming towards the reliable operation of synchronous generators. This paper proposes a novel technique for the diagnosis of the static eccentricity in synchronous generators. The proposed approach is off-line and non-intrusive, allowing the estimation of the fault severity with stator current measurements only. The performed work has been carried out with Finite Element Simulations and extensive experimental testing.

Keywords: condition monitoring; electrical machines; fault detection; static eccentricity; synchronous generators (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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