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

Li Zhang, Xiyue LuoYang, Yanjie Le, Fan Yang, Chun Gan and Yinxian Zhang
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Li Zhang: State Key Laboratory of Power Transmission Equipment & System Security and New Technology, Chongqing University, Chongqing 400044, China
Xiyue LuoYang: State Key Laboratory of Power Transmission Equipment & System Security and New Technology, Chongqing University, Chongqing 400044, China
Yanjie Le: Zhoushan Power Company of State Grid, Zhoushan 316021, China
Fan Yang: State Key Laboratory of Power Transmission Equipment & System Security and New Technology, Chongqing University, Chongqing 400044, China
Chun Gan: Zhoushan Power Company of State Grid, Zhoushan 316021, China
Yinxian Zhang: Zhoushan Power Company of State Grid, Zhoushan 316021, China

Energies, 2018, vol. 11, issue 7, 1-13

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.

Keywords: Cable joint; internal defect; thermal probability density (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2018
References: View complete reference list from CitEc
Citations: View citations in EconPapers (6)

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