High voltage outdoor insulator surface condition evaluation using aerial insulator images

Pernebayeva, Damira; Irmanova, Aidana; Sadykova, Diana; Bagheri, Mehdi; James, Alex Pappachen

doi:10.1049/hve.2019.0079

Cited by 40 publications

(18 citation statements)

References 28 publications

(25 reference statements)

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“…It was shown that compared with other parts of the insulator, the maximum temperature rise and discharges occurred in the annular area of the disc surface around a steel ball pin. In [8][9][10][11][12][13], the mechanism and characteristics of polluted flashovers of insulators were studied.…”

Section: Introductionmentioning

confidence: 99%

Research on the Interrelation between Temperature Distribution and Dry Band on Wet Contaminated Insulators

Zhang

Meng

2019

Energies

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In this paper, the interrelation between temperature distribution and dry band on wet contaminated insulators is studied by theoretical analysis, numerical simulation, and a high-voltage artificial contamination experiment. The influences of the composition of the contaminant and the relative humidity of the environment on the moisture absorption of the contamination layer are studied. It is indicated that the critical relative humidity (CRH) of the soluble mixture in the contamination layer decreases with the increase of the variety of soluble substances. This can be considered as a previously neglected reason for the inconsistency between the result of an artificial contamination test and that of a natural contamination test. Furthermore, the influences of the maximum temperature, wind speed, altitude, relative humidity, and the composition of the contamination on the water evaporation rate of the contaminated layer are also studied. The formation of dry band is predicted by studying the law of water transport in the contamination layer. The influence of the location, width, drying degree, and quantity of dry bands on the insulator surface temperature are studied by numerical simulation. An infrared thermal imager and ultraviolet camera are adopted to measure the temperature distribution and the discharge phenomenon on the insulator surface separately, which verifies the above numerical simulation. The study results deepen the research on the moisture absorption characteristics, the law of temperature distribution, the formation of dry bands, and the influence of dry bands on the temperature distribution of wet contaminated insulators.

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Section: Introductionmentioning

confidence: 99%

Research on the Interrelation between Temperature Distribution and Dry Band on Wet Contaminated Insulators

Zhang

Meng

2019

Energies

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“…Pernebayeva et al. have studied the surface condition of outdoor insulators and used ROC for calculating its accuracy in the classification of samples [34]. The ROC applies a threshold value across the intervals [0 to 1] to the output for each of the classes.…”

Section: Resultsmentioning

confidence: 99%

“…The main metric employed to assess the performance of classification is the receiver operating characteristic (ROC) curves. Pernebayeva et al have studied the surface condition of outdoor insulators and used ROC for calculating its accuracy in the classification of samples [34]. The ROC applies a threshold value across the intervals [0 to 1] to the output for each of the classes.…”

Section: Cementioning

confidence: 99%

Classification of thermal ageing impact of ester fluid‐impregnated pressboard material adopting LIBS

et al. 2021

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This article reports the thermal ageing of ester fluid-impregnated pressboard material along with its performance evaluation using optical emission spectroscopy (OES) and classification using machine-learning algorithms adopting laser-induced breakdown spectroscopy (LIBS). The surface discharge analysis on ester-impregnated pressboard (EIP) is studied using OES and the plasma temperature was evaluated based on the Cu I emission lines which were higher under the negative DC compared with the positive DC and AC voltages. The LIBS analysis was performed on the EIP material operated at different energy levels in order to acquire the optimal energy required to be used for its classification algorithm. The intensity ratio and electron density evaluated from LIBS studies correlated well with the plasma temperature. The lower limit of detection (LOD) calculated based on linear regression analysis for copper peak was around 3.5 times higher than the identification of carbon peak. The machine-learning techniques like principal component analysis and neural network algorithm have been performed on the LIBS spectral dataset in order to classify the ageing of EIP material. Artificial neural network adopting LIBS provided a better classification accuracy on all the aged samples compared with principal component analysis which classified only for the samples aged at higher temperatures.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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“…Nesse contexto, a associação de técnicas de monitoramento a modelos de aprendizado de máquina para determinação do estado operacional de isoladores poliméricos surge como uma alternativa para reduzir a subjetividade em seu diagnóstico [10]. O aprendizado de máquina pode ser dividido em aprendizado supervisionado e não supervisionado.…”

Section: Introductionunclassified

Agrupación difusa como herramienta para reducir la subjetividad en el diagnóstico de aisladores poliméricos

Souza

Costa

Nobrega

et al. 2021

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O diagnóstico das condições operacionais de isoladores poliméricos é um tema pertinente de estudo e pode apresentar elevada carga de subjetividade. Assim, o presente trabalho tem como objetivo propor uma metodologia, baseada em agrupamento difuso (fuzzy clustering), para reduzir a subjetividade no diagnóstico de isoladores poliméricos. Foram ensaiados 60 isoladores poliméricos de tensão nominal de 138 kV com diferentes níveis de degradação. Os isoladores foram classificados inicialmente a partir de inspeção visual em três níveis de degradação: baixo, intermediário e crítico. Em seguida, os isoladores foram submetidos às seguintes técnicas de monitoramento: detecção de radiação ultravioleta, termografia infravermelha e detecção de ruído ultrassônico. Os dados oriundos das inspeções foram extraídos e processados. Para cada método de inspeção, as amostras foram agrupadas em três conjuntos a partir de agrupamento difuso. Os conjuntos foram então associados a cada nível de degradação a partir da análise minuciosa dos dados. Um diagnóstico foi estabelecido considerando os agrupamentos relativos às três técnicas utilizadas e os resultados foram comparados ao diagnóstico oriundo da inspeção visual, sendo o estado mais crítico entre os dois considerados. Constatou-se que 5 dos isoladores apresentaram nível de degradação mais elevado do que o estabelecido a partir de inspeção visual, de modo que a metodologia utilizada asseguraria a retirada ou supervisão mais conservadora dos isoladores. A metodologia proposta reduz a subjetividade do diagnóstico de isoladores poliméricos, inserindo um fator não supervisionado na classificação do seu estado operacional.

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High voltage outdoor insulator surface condition evaluation using aerial insulator images

Cited by 40 publications

References 28 publications

Research on the Interrelation between Temperature Distribution and Dry Band on Wet Contaminated Insulators

Research on the Interrelation between Temperature Distribution and Dry Band on Wet Contaminated Insulators

Classification of thermal ageing impact of ester fluid‐impregnated pressboard material adopting LIBS

Agrupación difusa como herramienta para reducir la subjetividad en el diagnóstico de aisladores poliméricos

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