XLPE cable insulation pureness evaluation method based on broadband dielectric impedance spectroscopy

Abstract

The invention relates to an XLPE cable insulation pureness evaluation method based on broadband dielectric impedance spectroscopy. The method is suitable for testing the pureness of an ultra-high voltage cable insulating material. The method comprises the steps that an XLPE cable sample is cooled; the XLPE cable sample is heated; cooling and heating are repeatedly carried out to acquire the XLPE sample subjected to repeated cold and heat cycle stimulation processing; and the XLPE cable insulation pureness is determined according to the change rate of the dielectric loss spectrum before and after cold and heat cycle stimulation of the XLPE cable sample. According to the invention, a broadband dielectric impedance spectroscopy test result is directly used to evaluate the XLPE cable insulation pureness; the insulation pureness performance of the XLPE cable can be analyzed; the influence of man-made subjective factors can be avoided; the test result determining method is simple and quick; and the method is of great significance to improve the cable test level, shorten the test time and improve the reliability of the cable power supply.

Description

technical field [0001] The invention belongs to the technical field of XLPE cables, in particular to a method for evaluating the purity of XLPE cable insulation based on a broadband dielectric impedance spectrum method. Background technique [0002] The purity of the main cable insulation is an important parameter that affects the life of the cable insulation. Years of research have shown that the existence of defects such as micropores, impurity particles, semiconducting layer interface protrusions and trace water in the cable insulation are the factors that limit the electric strength and life of the cable. The main factor, as the electric field intensity increases, will cause serious harm to the safe and reliable operation of the cable system. Therefore, it is of great significance to conduct sampling inspection on cables and evaluate their insulation purity to ensure the insulation quality of cable products. At present, there is no tool that can automatically and accura...

AI Technical Summary

Problems solved by technology

At present, there is no tool that can automatically and accurately detect the size, shape, density, etc. of cable impurities. The detection of cable impurities mainly relies on human eyes to identify and judge. There is almost no advanced data analysis technology based on the surface of polyethylene cable materials. Structure, geometric shape extraction of raw data, such as automatic extraction and size measurement of cable impurities, automatic measurement of distribution density, etc.

However, visual observation by human eyes depends on the experience of the measurer, which is slow, affects the detection effect, and has many possibilities of erroneous results.