Partial discharge monitoring for power transformer using UHF sensors. Part 2: field experience

Judd, M.D.; Li, Yang; Hunter, I.B.B.

doi:10.1109/mei.2005.1437603

Cited by 141 publications

(60 citation statements)

References 11 publications

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“…Others authors propose several signal descriptors to characterize each partial discharge signal in the context of PD tests on power transformers and gas-insulated substations with UHF sensors [8,9,10], although these individual features are not used for clustering techniques. The authors of the present paper describe in [11] a parametric method where the waveform of each PD pulse is modelled with the combination of two functions.…”

Section: Features Generationmentioning

confidence: 99%

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Signal analysis and feature generation for pattern identification of partial discharges in high-voltage equipment

David¹,

Sánchez-Urán²,

Álvarez³

et al. 2013

Electric Power Systems Research

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This paper proposes a method for the identication of dierent partial discharges (PD) sources through the analysis of a collection of PD signals acquired with a PD measurement system. This method, robust and sensitive enough to cope with noisy data and external interferences, combines the characterization of each signal from the collection, with a clustering procedure, the CLARA algorithm.Several features are proposed for the characterization of the signals, being the wavelet variances, the frequency estimated with the Prony method, and the energy, the most relevant for the performance of the clustering procedure.The result of the unsupervised classication is a set of clusters each containing those signals which are more similar to each other than to those in other clusters. The analysis of the classication results permits both the identication of dierent PD sources and the discrimination between original PD signals, reections, noise and external interferences. The squared gain function associated with the wavelet lter at scale j.MRA Multiresolution analysis.

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Section: Features Generationmentioning

confidence: 99%

“…This method is a variant of 7 The function filterPD of the pdCluster package implements this functionality. 8 Available with the transformPD function of the pdCluster package.…”

Section: Clusteringmentioning

confidence: 99%

Signal analysis and feature generation for pattern identification of partial discharges in high-voltage equipment

David¹,

Sánchez-Urán²,

Álvarez³

et al. 2013

Electric Power Systems Research

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show abstract

“…Since partial discharge accompanied by an acoustic wave and an electromagnetic wave, a newly developed sensor such as an acoustic sensor, and UHF sensor are usually been employed for PD detection and finding the location of the defects [6][7][8][9][10][11][12]. However, it is very difficult for UHF antenna to locate the defects when partial discharge occurs and propagates through complex structures and the insulation medium of the transformer [13][14][15].…”

Section: Introductionmentioning

confidence: 99%

Simulation of Partial Discharge Induced Electromagnetic Wave in Power Transformer

Kawashima

Hozumi

et al. 2018

EPI-IJE

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This paper describes the numerical simulation of partial discharge (PD) in oil-filled power transformer using FDTD method (Finite Difference Time Domain). We investigate the effects of oil insulation medium and internal structures on the propagation of electromagnetic signal emitted from the partial discharge source. In this study, partial discharge is modeled as the Gaussian Pulse (pulse's width 1 ns). To observe the electromagnetic intensity and also the voltage distribution, three sensors are employed. The magnitude, frequency, and attenuation of the EM wave without internal structures and with internal structures are compared. The Results show that the EM wave intensity is attenuated while propagating through the oil insulation, iron-core, and windings. And the time arrival of each signal is different due to its distance from the PD source. The simulation results in both cases show that the first dominance frequency occurs in 1 GHz of frequency. However, the frequency spectrum of simulation with internal structures has resonance frequencies in the low region from 80 MHz to 300 MHz of frequency. These resonance frequencies occur because the windings are considered to be a loop antenna.

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“…The UHF method is based on the measurement of electrical resonance at the frequency range of up to 1.5 GHz due to PD excitation. This method is capable of detecting as well as locating a PD source [2,3]. The UHF method has inherent advantages such as low noise levels due to the shielding effect of the transformer and very low signal attenuation.…”

Section: Introductionmentioning

confidence: 99%

Review on partial discharge detection techniques related to high voltage power equipment using different sensors

et al. 2014

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When operating an equipment or a power system at the high voltage, problems associated with partial discharge (PD) can be tracked down to electromagnetic emission, acoustic emission or chemical reactions such as the formation of ozone and nitrous oxide gases. The high voltage equipment and high voltage installation owners have come to terms with the need for conditions monitoring the process of PD in the equipments such as power transformers, gas insulated substations (GIS), and cable installations. This paper reviews the available PD detection methods (involving high voltage equipment) such as electrical detection, chemical detection, acoustic detection, and optical detection. Advantages and disadvantages of each method have been explored and compared. The review suggests that optical detection techniques provide many advantages in the consideration of accuracy and suitability for the applications when compared to other techniques.

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Partial discharge monitoring for power transformer using UHF sensors. Part 2: field experience

Cited by 141 publications

References 11 publications

Signal analysis and feature generation for pattern identification of partial discharges in high-voltage equipment

Signal analysis and feature generation for pattern identification of partial discharges in high-voltage equipment

Simulation of Partial Discharge Induced Electromagnetic Wave in Power Transformer

Review on partial discharge detection techniques related to high voltage power equipment using different sensors

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