Detection of composite insulators inner defects based on flash thermography

Qiao, Zijian; Cheng, Li; Zhang, S.; Yang, Lijun; Guo, Chenjun

doi:10.1109/icempe.2017.7982103

Cited by 3 publications

(3 citation statements)

References 3 publications

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“…Measurement of electric field and voltage distribution on the insulators string, acoustic emission measurement, night vision camera, infrared thermography is used to improve the diagnostic of the insulator and reach a representative result. However, all of these techniques require qualified personnel who must be in contact with or near the insulator [ 9 , 10 , 11 , 12 , 13 , 14 , 15 , 16 ].…”

Section: Introductionmentioning

confidence: 99%

Sensing Method Using Multiple Quantities for Diagnostic of Insulators in Different Ambient Conditions

Dolník

Šárpataky

Kolcunová

et al. 2022

Sensors

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Insulators are one of the many components responsible for the reliability of electricity supply as part of transmission and distribution lines. Failure of the insulator can cause considerable economic problems that are much greater than the insulator cost. When the failure occurs on the transmission line, a large area can be without electricity supply or other transmission lines will be overloaded. Because of the consequences of the insulator’s failure, diagnostics of the insulator plays a significant role in the reliability of the power supply. Basic diagnostic methods require experienced personnel, and inspection requires moving in the field. New diagnostic methods require online measurement if it is possible. Diagnostic by measuring the leakage current flowing on the surface of the insulator is well known. However, many other quantities can be used as a good tool for diagnostics of insulators. We present in this article results obtained on the investigated porcelain insulators that are one of the most used insulation materials for housing the insulator’s core. Leakage current, dielectric loss factor, capacity, and electric charge are used as diagnostic quantities to investigate porcelain insulators in different pollution conditions and different ambient relative humidity. Pollution and humidity are the main factors that decrease the insulator´s electric strength and reliability.

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Section: Introductionmentioning

confidence: 99%

Sensing Method Using Multiple Quantities for Diagnostic of Insulators in Different Ambient Conditions

Dolník

Šárpataky

Kolcunová

et al. 2022

Sensors

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“…In [6], a deep learning based video analysis based distribution line defect detection and classification method was proposed. In order to detect defects in composite insulators operating in transmission lines, a new non-destructive testing technology was proposed in [7].…”

Section: Introductionmentioning

confidence: 99%

Power equipment defect detection method based on CenterNet

Zheng,

Tao,

et al. 2024

Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023)

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The infrared images collected by robots during the inspection process are difficult to reflect the texture information of the equipment. Artificial methods or traditional machine learning methods cannot accurately identify and classify power equipment defects, and other environmental factors can easily lead to misjudgment. In response to this issue, a CenterNet based defect detection method for power equipment is proposed in this paper. This method uses CenterNet and combines structured positioning to collect and train on-site infrared image data samples, achieving high accuracy in identifying and locating different substation equipment and components from complex infrared images. Based on the surface temperature range of equipment components and the identified substation equipment type, combined with relevant temperature specifications, infrared image defect detection of power equipment is achieved. The experimental results show that this method improves the detection accuracy of infrared image defect detection in power equipment.

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“…Several methods have been proposed for the monitoring of discharge intensity levels on the insulator surfaces by researchers [ 2 , 3 , 4 ] to ensure convenient, reliable, and accurate monitoring and prediction of insulator surface conditions. Currently, there has been more focus on non-contact methods of monitoring insulator surfaces for convenience and reliability.…”

Section: Introductionmentioning

confidence: 99%

Harmonic Components Analysis of Emitted Ultraviolet Signals of Aged Transmission Line Insulators under Different Surface Discharge Intensities

Suhaimi

Muhamad

Bashir

et al. 2022

Sensors

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Flashover on transmission line insulators is one of the major causes of line outages due to contamination from the environment or ageing. Power utility companies practicing predictive maintenance are currently exploring novel non-contact methods to monitor insulator surface discharge activities to prevent flashover. This paper presents an investigation on the UV pulse signals detected using UV pulse sensor due to the discharges on the insulator surfaces under varying contamination levels and insulator ages. Unaged and naturally aged insulators (0 to >20 years) were artificially contaminated (none, light to heavy contamination). The electrical stresses on the insulator surfaces were varied to generate varying discharge intensity levels on the surfaces of the insulator. The DC and harmonic components of UV pulse signals detected during surface discharges were recorded and analysed. Results show a positive correlation between the discharge intensity level of contaminated and aged transmission insulators with the DC and harmonic components of the UV pulse signals. Furthermore, the study revealed that under dry insulator surface conditions, insulator ageing has a more profound effect during discharges than contamination level. The findings from this study suggest that the use of UV pulse sensors to monitor UV pulse signals emitted during insulator surface discharges can be another novel non-contact method of monitoring transmission line insulator surface conditions.

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Detection of composite insulators inner defects based on flash thermography

Cited by 3 publications

References 3 publications

Sensing Method Using Multiple Quantities for Diagnostic of Insulators in Different Ambient Conditions

Sensing Method Using Multiple Quantities for Diagnostic of Insulators in Different Ambient Conditions

Power equipment defect detection method based on CenterNet

Harmonic Components Analysis of Emitted Ultraviolet Signals of Aged Transmission Line Insulators under Different Surface Discharge Intensities

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