Flashover process and leakage current characteristics of insulator model under desert pollution

Maadjoudj, D.; Mekhaldi, A.; Teguar, M.

doi:10.1109/tdei.2018.007112

Cited by 23 publications

(15 citation statements)

References 16 publications

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“…Common ways to measure the level of contamination in outdoor insulators are the non-soluble deposit density (NSDD) [43] and equivalent salt deposit density (ESDD) [44]. Contamination in coastal regions results in increased surface conductivity of insulators, increasing their leakage current and resulting in discharges that reduce the life of these components [45][46][47].…”

Section: Insulator Contaminationmentioning

confidence: 99%

Classification of Contaminated Insulators Using k-Nearest Neighbors Based on Computer Vision

et al. 2021

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Contamination on insulators may increase the surface conductivity of the insulator, and as a consequence, electrical discharges occur more frequently, which can lead to interruptions in a power supply. To maintain reliability in an electrical distribution power system, components that have lost their insulating properties must be replaced. Identifying the components that need maintenance is a difficult task as there are several levels of contamination that are hard to notice during inspections. To improve the quality of inspections, this paper proposes using k-nearest neighbors (k-NN) to classify the levels of insulator contamination based on images of insulators at various levels of contamination simulated in the laboratory. Computer vision features such as mean, variance, asymmetry, kurtosis, energy, and entropy are used for training the k-NN. To assess the robustness of the proposed approach, a statistical analysis and a comparative assessment with well-consolidated algorithms such as decision tree, ensemble subspace, and support vector machine models are presented. The k-NN showed up to 85.17% accuracy using the k-fold cross-validation method, with an average accuracy higher than 82% for the multi-classification of contamination of insulators, being superior to the compared models.

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Section: Insulator Contaminationmentioning

confidence: 99%

Classification of Contaminated Insulators Using k-Nearest Neighbors Based on Computer Vision

et al. 2021

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“…We observe that the flashover voltage decreases abruptly when NSSD increases from 0.01 to 0.03 g/cm 2 , and slowly elsewhere. More details about the behaviour of the same insulator model under uniform and non-uniform desert pollution (humidified sand) are presented in previous work [20] recently published by our research team. The sand has been collected from Naama region (South-West Algeria) on a dune of about 20 m of height.…”

Section: Discharge Flashover Processmentioning

confidence: 99%

Novel colour image encoding system combined with ANN for discharges pattern recognition on polluted insulator model

Ferrah

Chaou

Maadjoudj

et al. 2020

IET Science, Measurement & Technology

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“…When twenty-four hours of natural drying, the bushing is subjected to pollution performance check. [8], [9]. Brushing technique is finished, before beginning of pollution check, the load of NaCl (Sodium Chloride) and china stone is weighedby suggests that of weighing balance.The brush used for coating should be washed and cleaned with the pure water and artefact.…”

Section: Test Proceduresmentioning

confidence: 99%

Influence of Arc Flash Performance and ESDD Measurement of Bushings Tainted by Nitrates

Nikkitha,

Kalaivani

2019

IJEAT

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Tainting devastate the feat of bushings. Conductors are insulated inside the bushing that carry a high voltage current through a grounded enclosure. An aspiration is to study the pollution performance of bushings tainted by Nitrates.Arc flash tests of 1kV,11kV,17.5kV bushings are tainted by three types of salts such as NaCl, NaNO3, KNO3. The morsels are negotiated under habitual environment as per IEC 60507. The impact of tainting salts with their solubility on Equivalent Salt Deposit Density (ESDD) and bushings arc flash voltage are scrutinized. The effect of tainted salts on arc flash fruition, the sway of volume conductivity and Equivalent Salt Deposit Density (ESDD) under different percentages are also scrutinized. The research upshot reveals that the Equivalent Salt Deposit Density (ESDD) rate escalated with escalating salt content. When salt concentration gets escalated then conductivity also get escalated. When Equivalent Salt Deposit Density (ESDD) get Escalated then the arc flash voltage and leakage current get slacken. Finally, the graphs are drawn between ESDD and Arc flash voltage, Conductivity and Salt concentration, Arc flash voltage and Leakage current are obtained using MATLAB software.

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Flashover process and leakage current characteristics of insulator model under desert pollution

Cited by 23 publications

References 16 publications

Classification of Contaminated Insulators Using k-Nearest Neighbors Based on Computer Vision

Classification of Contaminated Insulators Using k-Nearest Neighbors Based on Computer Vision

Novel colour image encoding system combined with ANN for discharges pattern recognition on polluted insulator model

Influence of Arc Flash Performance and ESDD Measurement of Bushings Tainted by Nitrates

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