Electromagnetic Analysis and Electrical Signature-Based Detection of Rotor Inter-Turn Faults in Salient-Pole Synchronous Machine

Valavi, Mostafa; Jørstad, Kari Gjerde; Nysveen, Arne

doi:10.1109/tmag.2018.2854670

Cited by 23 publications

(14 citation statements)

References 16 publications

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“…The TTF in the rotor winding is caused by the insulation failure due to ageing, thermal, and mechanical stresses [67]. As a result of short‐circuit turns, the total ampere‐turn is reduced in the affected pole, and consequently, the air‐gap magnetic flux density distribution becomes asymmetrical [68]. Magnetic flux and vibration are two major quantities, measured by sensors, which can be used for the rotor winding fault diagnosis.…”

Section: Rotor Faultsmentioning

confidence: 99%

An overview of various faults detection methods in synchronous generators

Mostafaei

Faiz

2021

IET Electric Power Appl

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Synchronous generator (SG) plays a vital and critical role in the power system by supplying electric power to consumers. Various faults in SGs can cause some catastrophic events such as power disruption or blackout. These faults can be classified into two electrical and mechanical faults. Short circuit in stator windings and field winding are electrical fault while bearing, static/dynamic eccentricity, and broken damper bars faults are mechanical one. Unlike the induction machines, there are no much researches in SGs condition monitoring owing to its complex behaviour against the faults. Herein, the SG modelling approaches are presented briefly to elaborate shortcoming and challenging issues in the modelling, and then a comprehensive review of various electrical and mechanical fault detection methods is presented.

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Section: Rotor Faultsmentioning

confidence: 99%

An overview of various faults detection methods in synchronous generators

Mostafaei

Faiz

2021

IET Electric Power Appl

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“…Numerous non-invasive approaches exist to diagnose ITSC fault in SPSG based on stray flux analysis [9], harmonics of stator current and voltage [10], and unbalanced circulating current in the stator winding [11]. In [12], a sensorless method based on measurements of the induced voltage in the screw located in the stator core was proposed.…”

Section: Introductionmentioning

confidence: 99%

Intelligent Data-Driven Diagnosis of Incipient Interturn Short Circuit Fault in Field Winding of Salient Pole Synchronous Generators

Ehya

Skreien

Nysveen

2022

IEEE Trans. Ind. Inf.

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This paper examines if machine learning (ML) and signal processing can be used for on-line condition monitoring to reveal inter-turn short circuit fault (ITSC) in the field winding of salient pole synchronous generators (SPSG). This was done by creating several ML classifiers to detect ITSC faults. A data set for ML was built using power spectral density of the air gap magnetic field extracted by fast Fourier transform (FFT), discrete wavelet transform energies, and time series feature extraction based on scalable hypothesis tests (TSFRESH) to extract features from measurements of SPSG operated under several different severities of ITSC fault. Using this data set, a wide range of classifiers were trained to detect the presence of ITSC faults. The classifiers evaluated were logistic regression, K-nearest neighbours, radial basis function support vector machine (SVM), linear SVM, XGBoost decision tree forest, multi-layer perceptron (MLP), and a stacking ensemble classifier including all of the aforementioned. The classifiers were optimised using hyperparameter grid searches. In addition, some feature selection and reduction algorithms were assessed such as random forest feature selection, TSFRESH feature selection, and principal component analysis. This resulted in a classifier capable of detecting 84.5% of samples containing ITSC fault, with a 92.7% chance that fault detections are correct.

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“…[4]. Valavi performed the electromagnetic analysis and electrical signature-based detection of rotor inter-turn faults in salient-pole synchronous machine [5]. Akiror et al studied the challenges in modeling of large synchronous machines [6].…”

Section: Introductionmentioning

confidence: 99%

Thermal Modeling and Experimental Validation in the Rotor Region of Hydrogenerator With Different Rotor Structures

et al. 2021

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Thermal management is often considered a bottleneck in the pursuit of the next generation hydrogenerator in the electric power system. Overheating of the complex rotor parts has become one of the main problems affecting safe and stable hydrogenerator operation. In this paper, a 250 MW hydrogenerator is analyzed. The transient electromagnetic field of the hydrogenerator is calculated and the losses of the rotor parts are obtained. The rotation of the hydrogenerator rotor is considered. Three-dimensional fluid and thermal mathematic and physical models of the hydrogenerator are established. The loss values from electromagnetic field calculations are applied to the rotor parts as heat sources in the temperature field. After solving the fluid and thermal equations of fluid-solid conjugated heat transfer, influence of the structures of rotor support plate, rotor pole body insulation, and rotor excitation winding on the fluid flow and temperature distribution in the rotor region of hydrogenerator is studied using the finite volume method. The calculated temperature result of rotor excitation winding is compared with the measured value. The calculated temperature result agrees well with the measured value. It provides an important reference for optimizing the rotor structure of the larger hydrogenerator.

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Electromagnetic Analysis and Electrical Signature-Based Detection of Rotor Inter-Turn Faults in Salient-Pole Synchronous Machine

Cited by 23 publications

References 16 publications

An overview of various faults detection methods in synchronous generators

An overview of various faults detection methods in synchronous generators

Intelligent Data-Driven Diagnosis of Incipient Interturn Short Circuit Fault in Field Winding of Salient Pole Synchronous Generators

Thermal Modeling and Experimental Validation in the Rotor Region of Hydrogenerator With Different Rotor Structures

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