DC and AC electric field analysis and experimental verification of a silicone rubber insulator

Uckol, Halil Ibrahim; Karaca, Barıs; İlhan, Suat

doi:10.1007/s00202-020-00954-3

Cited by 11 publications

(2 citation statements)

References 21 publications

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“…The climatic and meteorological factors that lead to flashover on contaminated bushings have a major impact on the reliability of power systems [ 35 , 36 ]. This causes system failures.…”

Section: Flow Chart Of Proposed Work and Experimental Workmentioning

confidence: 99%

A mathematical model for investigation of dry band location on 22 kV bushing with and without RTV coating: Experimental study

Kalaivani,

Maheswari,

Makki

et al. 2024

MethodsX

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“…The climatic and meteorological factors that lead to flashover on contaminated bushings have a major impact on the reliability of power systems [ 35 , 36 ]. This causes system failures.…”

Section: Flow Chart Of Proposed Work and Experimental Workmentioning

confidence: 99%

A mathematical model for investigation of dry band location on 22 kV bushing with and without RTV coating: Experimental study

Kalaivani,

Maheswari,

Makki

et al. 2024

MethodsX

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“…In [12], the phase resolved partial discharge (PRPD) spectrum is used to determine the operating state of an insulator using the pulse current method. In [13], the 3D electric field of an insulator was simulated using finite element software, and the effect of surrounding air conductivity on the electric field was evaluated. In [14], an electric field sensor based on the Pockels effect was utilized to construct an insulator defect detection platform.…”

Section: Introductionmentioning

confidence: 99%

Composite Insulator Defect Identification Method Based on Acoustic–Electric Feature Fusion and MMSAE Network

et al. 2023

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Aiming to solve the partial discharge problem caused by defects in composite insulators, most existing live detection methods are limited by the subjectivity of human judgment, the difficulty of effective quantification, and the use of a single detection method. Therefore, a composite insulator defect diagnosis model based on acoustic–electric feature fusion and a multi-scale perception multi-input of stacked auto-encoder (MMSAE) network is proposed in this paper. Initially, during the withstanding voltage experiment, the electromagnetic wave spectrometer and ultrasonic detector were used to collect and process the data of six types of composite insulator samples with artificial defects. The electromagnetic wave spectrum, ultrasonic power spectral density, and n-S map were then obtained. Then, the network architecture of MMSAE was built by integrating a stacked auto-encoder and multi-scale perception module; the feature extraction and fusion methods of the electromagnetic wave spectrum and ultrasonic signal were investigated. The proposed method was used to diagnose test samples, and the diagnostic results were compared to those obtained using a single input source and the artificial neural network (ANN) method. The results demonstrate that the detection accuracy of acoustic–electric feature fusion is greater than that of a single feature; the accuracy of the proposed method is 99.17%, which is significantly higher than the accuracy of the conventional ANN method. Finally, composite insulator defect diagnosis software based on PYQT5 and Keras was developed. Ten 500 kV aging composite insulators were used to validate the effectiveness of the proposed method and design software.

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FEM analysis of electric field distribution for polymeric insulator under different configuration of non-uniform pollution

et al. 2021

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DC and AC electric field analysis and experimental verification of a silicone rubber insulator

Cited by 11 publications

References 21 publications

A mathematical model for investigation of dry band location on 22 kV bushing with and without RTV coating: Experimental study

A mathematical model for investigation of dry band location on 22 kV bushing with and without RTV coating: Experimental study

Composite Insulator Defect Identification Method Based on Acoustic–Electric Feature Fusion and MMSAE Network

FEM analysis of electric field distribution for polymeric insulator under different configuration of non-uniform pollution

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