Synchronous Generator Fault Investigation by Experimental and Finite-Element Procedures

Santos, H. F. dos; Sadowski, N.; Batistela, Nelson Jhoe; Bastos, J.P.A.

doi:10.1109/tmag.2015.2480546

Cited by 13 publications

(16 citation statements)

References 9 publications

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“…Another proposed fault pattern for this type of fault is the analysis of even harmonics (fphp) in the electrical signature, which are given by [13,19,33,34]: php = 2 ⋅ ⋅ (10) This pattern must be analyzed on voltage and current signatures and is illustrated in Figure 1b.…”

Section: Rotor Winding Inter-turn Short Circuitmentioning

confidence: 99%

“…The fault pattern proposed for these faults is the rotor rotation frequency on voltage and current Another proposed fault pattern for this type of fault is the analysis of even harmonics (f php ) in the electrical signature, which are given by [13,19,33,34]:…”

Section: Rotor Mechanical Faultsmentioning

confidence: 99%

“…The harmonics in an SG include the intrinsic harmonics due to the structural characteristics of the SGs and the magnetomotive force waveform, harmonics due to non-linear loads fed by the SG (they reflect in the SGs signals because of the armature reaction effect), and harmonics due to possible internal faults of the SGs (for instance, the second harmonic as indicative of rotor faults). In practice, even healthy machines may present even harmonics, and this can confuse the fault diagnosis when using ESA [30][31][32][33]. Even harmonics are indicative of rotor winding short circuit and the second harmonic matches the rotation frequency pattern's first right sideband.…”

Section: Two-pole Synchronous Generatorsmentioning

confidence: 99%

“…Therefore, the fault patterns and the power system harmonics match the same components. Thus, the ESA-based fault diagnostic can be obscured because of the SGs intrinsic harmonics or harmonics related to non-linear loads [30][31][32][33][34]. Finally, in general, the works found in literature present ESA application to isolated SGs, both in a laboratory environment and in SGs onboard ships [13,15,24].…”

Section: Introductionmentioning

confidence: 99%

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A Study of Fault Diagnosis Based on Electrical Signature Analysis for Synchronous Generators Predictive Maintenance in Bulk Electric Systems

Salomon

Ferreira

Sant’Ana³

et al. 2019

Energies

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The condition of synchronous generators (SGs) is a matter of great attention, because they can be seen as equipment and also as fundamental elements of power systems. Thus, there is a growing interest in new technologies to improve SG protection and maintenance schemes. In this context, electrical signature analysis (ESA) is a non-invasive technique that has been increasingly applied to the predictive maintenance of rotating electrical machines. However, in general, the works applying ESA to SGs are focused on isolated machines. Thus, this paper presents a study on the condition monitoring of SGs in bulk electric systems by using ESA. The main contribution of this work is the practical results of ESA for fault detection in in-service SGs interconnected to a power system. Two types of faults were detected in an SG at a Brazilian hydroelectric power plant by using ESA, including stator electrical unbalance and mechanical misalignment. This paper also addresses peculiarities in the ESA of wound rotor SGs, including recommendations for signal analysis, how to discriminate rotor faults on fault patterns, and the particularities of two-pole SGs.

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Section: Rotor Winding Inter-turn Short Circuitmentioning

confidence: 99%

Section: Rotor Mechanical Faultsmentioning

confidence: 99%

Section: Two-pole Synchronous Generatorsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A Study of Fault Diagnosis Based on Electrical Signature Analysis for Synchronous Generators Predictive Maintenance in Bulk Electric Systems

Salomon

Ferreira

Sant’Ana³

et al. 2019

Energies

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“…Though the sensor do not measure DC component, the experimental frequencies spectrum presents a DC level (null frequency component) due to noises, electronic circuits and D/A conversion processing imperfection. The next result, already presented in [12], concerns tests conducted in order to investigate the behavior of the frequency components amplitudes regarding the increase of the fault severity degree for 100% (healthy condition), 80.5% and 50% of the turns of one pole. Figure 21 presents (a) the amplitude of the frequency components with respect to the fundamental and (b) the relative variation of harmonic components amplitudes with respect to the corresponding values for the healthy machine.…”

Section: A Test On a Two Poles Generatormentioning

confidence: 99%

Non-invasive monitoring system of synchronous generator using external field

Santos

Rigoni

Elias

et al. 2017

J. Microw. Optoelectron. Electromagn. Appl.

Self Cite

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Modelling of brushless doubly fed reluctance machines based on reluctance network model

Fankem

Onla

Wang

et al. 2021

IET Electric Power Appl

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The modelling and analysis of Brushless Doubly Fed Reluctance Machines (BDFRMs), taking into account magnetic saturation and rotor movement, by conventional modelling techniques are very difficult, if not impossible, because the two stator windings have different number of poles leading to a complex flux pattern. To overcome this drawback, Finite Element Analysis (FEA) is generally used for modelling and analysing BDFRMs. But it requires a considerable computational time compared with semi-analytical methods. This article, therefore, steps forward by proposing a new approach to dynamical modelling of BDFRM based on the Reluctance Network Method (RNM), which can enable accurate calculation of the electromagnetic parameters and performances of BDFRMs. Indeed, the reluctance network method offers an interesting compromise between precision and computation time compared to finite element analysis. To validate the proposed model, simulations are carried out and comparison are made with FEA. It is observed that the greatest error between the values of the proposed model and those from FEA is close to 1%. The accuracy in the calculation of electromagnetic parameters, as well as the computational time leads us to the conclusion that the proposed model could be suitable for optimisation and control purposes.This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.

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Synchronous Generator Fault Investigation by Experimental and Finite-Element Procedures

Cited by 13 publications

References 9 publications

A Study of Fault Diagnosis Based on Electrical Signature Analysis for Synchronous Generators Predictive Maintenance in Bulk Electric Systems

A Study of Fault Diagnosis Based on Electrical Signature Analysis for Synchronous Generators Predictive Maintenance in Bulk Electric Systems

Non-invasive monitoring system of synchronous generator using external field

Modelling of brushless doubly fed reluctance machines based on reluctance network model

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