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

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.

A STUDY ON TEMPERATURE DISTRIBUTION OF THE HIGH VOLTAGE PORCELAIN INSULATOR STRING

Nowadays, porcelain string insulators are commonly used in high voltage transmission lines. The study of temperature distribution is extensively performed in the design and development of high voltage insulations. As known, the infrared technology has opened the door to a variety of applications and especially it is also used as a kind of non-contact remote detection technology which has the advantage for detecting high voltage faulty porcelain insulator. Thanks to it, this paper uses the infrared technology to investigate the temperature distribution of the 220kV power grid insulator string. The experiments were done in climate chamber to study. Firstly, determining the thermal stability time of the high voltage porcelain insulator called XP-70 type composing of 14 pieces under the tested voltage of 127kV based on the temperature and voltage distribution. And then the temperature distribution along the normal and fault insulator string experiments. The experimental results show that it may detect and compare the insulator metal cap temperature of faulty insulator in the porcelain insulator string and determine the location of them. And especially based on the unchangeable voltage distribution, it may detect the temperature distribution characteristic for the fault insulator string. Therefore, this research results can provide a reference to detect the faulty porcelain insulator strings

Electric Field and Potential Distribution of Porcelain Insulator using FEM Method

The porcelain insulators are investigated with the high voltage transmission line in outdoor condition. The MATLAB finite element simulation are used here to test the performance of the porcelain. The PDE software is helpful in modelling the porcelain insulator in two dimensional. The pollution layer in the porcelain assumed to be uniform. The simulation demonstrates the electric field and potential distribution in the porcelain insulator. The porcelain insulators have higher field distribution near to the high voltage line. The results are represented as graphs. The MATLAB 2017b comes with preinstalled PDE tool. In this paper the PDE tool is used for the results and analysis.