Laser-Ultrasound Testing of Cracks in Porcelain Insulator

Hou, Ru Feng; Wang, Wen Hong; Mo, Run Yang; Liu, Xiao Jun

doi:10.4028/www.scientific.net/amr.774-776.1349

Cited by 1 publication

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References 9 publications

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“…Accordingly, it cannot be applied to online testing, and it is mostly used in the production of insulators. The laser detection method is more accurate in finding the location and size of cracks [ 4 ]; however, offline inspection of the device is also required. Accordingly, online detection cannot be carried out.…”

Section: Introductionmentioning

confidence: 99%

Porcelain Insulator Crack Location and Surface States Pattern Recognition Based on Hyperspectral Technology

Zhao¹,

Jing²,

Wang³

et al. 2021

Entropy

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A porcelain insulator is an important part to ensure that the insulation requirements of power equipment can be met. Under the influence of their structure, porcelain insulators are prone to mechanical damage and cracks, which will reduce their insulation performance. After a long-term operation, crack expansion will eventually lead to breakdown and safety hazards. Therefore, it is of great significance to detect insulator cracks to ensure the safe and reliable operation of a power grid. However, most traditional methods of insulator crack detection involve offline detection or contact measurement, which is not conducive to the online monitoring of equipment. Hyperspectral imaging technology is a noncontact detection technology containing three-dimensional (3D) spatial spectral information, whereby the data provide more information and the measuring method has a higher safety than electric detection methods. Therefore, a model of positioning and state classification of porcelain insulators based on hyperspectral technology is proposed. In this model, image data were used to extract edges to locate cracks, and spectral information was used to classify the surface states of porcelain insulators with EfficientNet. Lastly, crack extraction was realized, and the recognition accuracy of cracks and normal states was 96.9%. Through an analysis of the results, it is proven that the crack detection method of a porcelain insulator based on hyperspectral technology is an effective non-contact online monitoring approach, which has broad application prospects in the era of the Internet of Things with the rapid development of electric power.

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Section: Introductionmentioning

confidence: 99%