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A Thermal Probability Density–Based Method to Detect the Internal Defects of Power Cable Joints

Li Zhang, Xiyue LuoYang, Yanjie Le and 3 more

Energies · 2018

doi:10.3390/en11071674 (opens in a new tab)

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Abstract

Internal defects inside power cable joints due to unqualified construction is the main issue of power cable failures, hence in this paper a method based on thermal probability density function to detect the internal defects of power cable joints is presented. First, the model to calculate the thermal distribution of power cable joints is set up and the thermal distribution is calculated. Then a thermal probability density (TPD)-based method that gives the statistics of isothermal points is presented. The TPD characteristics of normal power cable joints and those with internal defects, including insulation eccentricity and unqualified connection of conductors, are analyzed. The results indicate that TPD differs with the internal state of cable joints. Finally, experiments were conducted in which surface thermal distribution was measured by FLIR SC7000, and the corresponding TPDs are discussed.

Abstract licence: CC BY

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