Comparative investigation of silicone rubber composite and room temperature vulcanized coated glass insulators installed in coastal overhead transmission lines

Pylarinos, D.; Siderakis, K.; Thalassinakis, E.

doi:10.1109/mei.2015.7048134

Cited by 17 publications

(14 citation statements)

References 11 publications

(9 reference statements)

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“…Using the least squares method based on the algebraic distance to fit the ellipse, the engineers select five evenly distributed points on the i th layer of the umbrellas in the image, which are denoted as (x ij , y ij ) j = [1,2,3,4,5]. Due to some errors, the above equation does not necessarily have a solution matching the actual measured points.…”

Section: F X Y a X A Xy A Y A X A Y Amentioning

confidence: 99%

“…Several factors affect the performance of outdoor insulators, pollution probably being the most significant one. Contamination of insulators can cause flashovers in distribution lines as well as outages [1][2][3][4]. Therefore, electric power departments must conduct regular inspections and timely maintenance on electric transmission lines.…”

Section: Introductionmentioning

confidence: 99%

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An Online Measurement Method for Insulator Creepage Distance on Transmission Lines

et al. 2018

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Abstract:Insulators play a crucial role in ensuring the normal operation of the power system, and the creepage distance is an important electrical parameter of insulators. Most available solutions focus mainly on offline measurement methods, and online measurement for insulator creepage distance on transmission lines remains a challenging task. To address this issue and to further improve the corresponding work efficiency, an online measurement method for insulator creepage distance is presented in this paper. Considering the glass material of the insulator and the long measuring distance, this method recognizes the insulator type indirectly by calculating the structural parameters of the insulators based on their geometric features, and then obtaining the creepage distance. Accordingly, a measurement system, which mainly includes an electronic total station and a camera with a telephoto lens, is designed in this paper. Moreover, this paper also proposes an error analysis model aimed at reducing the errors caused by the layout of this system. In the conducted experiments, this proposed method effectively obtains the creepage distance and the error correction model can further improve the measurement accuracy of structural parameters.

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Section: F X Y a X A Xy A Y A X A Y Amentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

An Online Measurement Method for Insulator Creepage Distance on Transmission Lines

et al. 2018

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“…Until now the available commercial monitoring devices used in power utilities worldwide are limited in number. According to the experience of Greek power utility, based on the usage of commercial insulator leakage current monitoring devices in service, these devices had the following disadvantages [9][10][11]:…”

Section: Insulator Monitoring Systemmentioning

confidence: 99%

A Novel Autonomous Monitoring System for Distributed Leakage Current Measurements on Outdoor High Voltage Insulators

Mavrikakis¹,

Kapellakis²,

Pylarinos³

et al. 2015

Engineering and Industry

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“…The extreme weather conditions, such as, that lead to ice and snow formation on insulator surfaces in combination with wind conditions can cause additional mechanical load that leads to the reduction of the leakage distance of insulators [7]. The wetconditions of the surface along with the non-uniformly polluted surface creates a distortion of the electric field forming a conductive layer that decreases surface resistance, triggers surface discharge [8] and leakage current [9][10][11]. This makes condition monitoring and evaluation of insulators state important for power utilities.…”

Section: Introductionmentioning

confidence: 99%

High voltage outdoor insulator surface condition evaluation using aerial insulator images

Pernebayeva¹,

Irmanova²,

Sadykova³

et al. 2019

High Voltage

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High voltage insulator detection and monitoring via drone-based aerial images is a cost-effective alternative in extreme winter conditions and complex terrains. The authors examine different surface conditions of the outdoor electrical insulator that generally occur under winter condition using image processing techniques and state-of-the-art classification methods. Two different types of classification approaches are compared: one method is based on neural networks (e.g. CNN, InceptionV3, MobileNet, VGG16, and ResNet50) and the other method is based on traditional machine learning classifiers (e.g. Bayes Net, Decision Tree, Lazy, Rules, and Meta classifiers). They are evaluated to discriminate the images of insulator surface exposed to freezing, wet, and snowing conditions. The results indicate that traditional machine learning methods with proper selection of features can show high classification accuracy. The classification of the insulator surfaces will assist in determining the insulator conditions, and take preventive measures for its protection.

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Comparative investigation of silicone rubber composite and room temperature vulcanized coated glass insulators installed in coastal overhead transmission lines

Cited by 17 publications

References 11 publications

An Online Measurement Method for Insulator Creepage Distance on Transmission Lines

An Online Measurement Method for Insulator Creepage Distance on Transmission Lines

A Novel Autonomous Monitoring System for Distributed Leakage Current Measurements on Outdoor High Voltage Insulators

High voltage outdoor insulator surface condition evaluation using aerial insulator images

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