Advanced noise suppression during PD measurements by real-time pulse-waveform analysis of PD pulses and pulse-shaped disturbances

Kraetge, A.; Hoek, S.M.; Rethmeier, K.; Krüger, Michael; Winter, Paul

doi:10.1109/elinsl.2010.5549723

Cited by 13 publications

(5 citation statements)

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“…A variety of algorithms are proposed to distinguish partial discharge signal and external noises [20][21][22]. Through feature extraction, pattern recognition and pattern classification of the measured waveforms and the interference of external noises are eliminated [23][24][25][26].…”

Section: Introductionmentioning

confidence: 99%

Parallel diode‐clamped linear converter for withstand test and partial discharge measurement of electric equipment

et al. 2023

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High-voltage withstand tests are essential for electric equipment like power transformers, electric cable lines, gas insulated switchgears etc. The partial discharge (PD) measurement for such equipment under applied high voltage is also required at the same time. Pulse Width Modulation (PWM)-based variable frequency power supply (VFPS) finds wide applications in the series resonance high-voltage testing circuits. However, the steep rising and falling voltage edges in the PWM process will produce large amount of partial discharge interference in a wide spectrum range, which will confuse the real partial discharge signal of the device and lead to the wrong estimation of the insulation status. This paper proposes a new VFPS based on the highefficiency linear power amplifier without PD interference. The topology and principle of the VFPS are given and discussed. A prototype rated at 232 V/35 A was designed and constructed to verify the feasibility of the proposed VFPS. Physical experiments were carried out on the prototype.This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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Section: Introductionmentioning

confidence: 99%

Parallel diode‐clamped linear converter for withstand test and partial discharge measurement of electric equipment

et al. 2023

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“…Till now several attempts have been concentrated on the separation of pulses from different PD sources including mixed Weibull model [5], equivalent time-frequency analysis (ETFA) [6][7][8][9][10], normalized auto-correlation function (NACF) [4,11], amplitude-frequency space (AFS) [12], wavelet decomposition (WD) combined with principal component analysis (PCA) [13], envelope comparison [14], blind source separation (BSS) algorithm [15], 3-phase-amplitude-relation-diagram (3PARD) method [16][17][18], etc. These methods have already been validated by both experiments in laboratory and field testing, which were acknowledged to be quite effective with the assistance of human investigations.…”

Section: Introductionmentioning

confidence: 99%

A hybrid algorithm based on s transform and affinity propagation clustering for separation of two simultaneously artificial partial discharge sources

Wang

Zhang

et al. 2015

IEEE Trans. Dielect. Electr. Insul.

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This paper presents a hybrid algorithm for separation of two simultaneous partial discharge (PD) sources of oil-paper insulation based on S transform (ST) and affinity propagation clustering (APC). Similarities between PD pulses are acquired by comparisonsof the corresponding ST-amplitude (STA) matrices, which are input of APC to realize the PD pulses separation and obtain two sub-groups of PD pulses having similar time-frequency characteristics. A classification-based model for separation results validation are developed using a support vector machine with particle swarm optimization (PSO-SVM) classifier and 27 phase-resolved partial discharge (PRPD) statistical features. Artificial defect models are made to simulate two PD sources simultaneously active. Several PD data of different two simultaneous PD sources are acquired in laboratory and adopted for algorithm testing. It is shown that ST computes very fast and is suitable for online PD applications. The separation results of PD data produced in laboratory are verified by the developed validation model, which demonstrate that ST combined with APC can effectively eliminate pulse-shaped noises (PSN) and separate pulses of two simultaneous PD sources. Comparisons with typical separation methods from the state of the art provide better separation performance of the proposed ST combined with APC algorithm for two simultaneous PD sources. The obtained results in this work provide a solid basis for the data mining technique that can be used to facilitate PD diagnosis of transformers.

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“…También se han desarrollado dos estudios diferentes para la clasificación de los pulsos basados en el análisis del espectro en frecuencia de las señales [35,84,85]. En [35] se seleccionan dos bandas del espectro en frecuencia y se calcula para cada pulso un ratio de potencia espectral en cada una de ellas; los valores obtenidos son posteriormente representados en un diagrama en dos dimensiones, que permite la visualización y la selección de los grupos de pulsos formados.…”

Section: Métodos De Clasificación De Dp Existentesunclassified

“…En [35] se seleccionan dos bandas del espectro en frecuencia y se calcula para cada pulso un ratio de potencia espectral en cada una de ellas; los valores obtenidos son posteriormente representados en un diagrama en dos dimensiones, que permite la visualización y la selección de los grupos de pulsos formados. En [84,85] se evalúa simultáneamente la energía espectral de las señales en tres bandas de frecuencia, visualizándose los valores correspondientes de amplitud en un diagrama en tres dimensiones para la clasificación de los pulsos en diferentes grupos.…”

Section: Métodos De Clasificación De Dp Existentesunclassified

“…Este método de clasificación, presentado por Koltunowicz y Kraetge [84,85], está basado en la evaluación de los niveles de amplitud obtenidos en tres bandas seleccionadas del espectro en frecuencia correspondiente a cada pulso medido. Tanto la frecuencia central como el ancho de banda de los tres intervalos del espectro, son ajustados con el fin de obtener los mejores resultados en la clasificación de pulsos en cada ensayo realizado.…”

Section: Método De Clasificación Mediante El Análisis En Tres Bandas ...unclassified

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Nuevos desarrollos en la medida de descargas parciales y técnicas avanzadas de análisis para el diagnóstico del estado de los aislamientos en sistemas eléctricos de alta tensión

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Advanced noise suppression during PD measurements by real-time pulse-waveform analysis of PD pulses and pulse-shaped disturbances

Cited by 13 publications

References 4 publications

Parallel diode‐clamped linear converter for withstand test and partial discharge measurement of electric equipment

Parallel diode‐clamped linear converter for withstand test and partial discharge measurement of electric equipment

A hybrid algorithm based on s transform and affinity propagation clustering for separation of two simultaneously artificial partial discharge sources

Nuevos desarrollos en la medida de descargas parciales y técnicas avanzadas de análisis para el diagnóstico del estado de los aislamientos en sistemas eléctricos de alta tensión

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