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Detection method of cable fault based on correlation coefficient of reflection coefficient spectrum
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Pengcheng LIU1, Libin TIAN2, Lei GAO1, Chunlü MENG1, Yuan SUN1, Jingpu FENG1, Yunrui CHEN1, Wen LIN1
Insulating Materials | 2023, 56(5) : 95 - 102
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Insulating Materials | 2023, 56(5): 95-102
• Test and Analysis •
Detection method of cable fault based on correlation coefficient of reflection coefficient spectrum
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Pengcheng LIU1, Libin TIAN2, Lei GAO1, Chunlü MENG1, Yuan SUN1, Jingpu FENG1, Yunrui CHEN1, Wen LIN1
Affiliations
  • 1Hainan Power Grid Co., Ltd. LeDong Power Supply Bureau, Ledong 572500, China
  • 2South China University of Technology, Guangzhou 510641, China
Published: 2023-05-20 doi: 10.16790/j.cnki.1009-9239.im.2023.05.015
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The frequency domain reflection method can effectively detect the fault in cable, but the traditional methods can only locate the fault in cable and can not detect the impedance state of the fault. Therefore, we proposed a cable fault detection method based on the correlation coefficient of reflection coefficient spectrum in this paper. Firstly, the comparison function was designed, then the function curve of correlation coefficient was constructed by comparing the function and reflection coefficient spectrum, and the position and type of the extreme value in the function curve were used to detect the position and impedance state of fault, respectively. At last, a 10 kV power cable with fault was conducted simulation research and a 60 m of 10 kV power cable with fault was conducted experimental research. The simulation and experiment results show that the cable fault detection method based on correlation coefficient of reflection coefficient spectrum has high location accuracy on the cable faults, and it can accurately detect the impedance state of fault.

cable fault  /  reflection coefficient spectrum  /  correlation coefficient  /  fault location  /  impedance state
Pengcheng LIU, Libin TIAN, Lei GAO, Chunlü MENG, Yuan SUN, Jingpu FENG, Yunrui CHEN, Wen LIN. Detection method of cable fault based on correlation coefficient of reflection coefficient spectrum[J]. Insulating Materials, 2023 , 56 (5) : 95 -102 . DOI: 10.16790/j.cnki.1009-9239.im.2023.05.015
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Year 2023 volume 56 Issue 5
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Article Info
doi: 10.16790/j.cnki.1009-9239.im.2023.05.015
  • Receive Date：2022-04-25
  • Online Date：2025-11-21
  • Published：2023-05-20
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  • Received：2022-04-25
  • Revised：2022-07-15
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Affiliations
    1Hainan Power Grid Co., Ltd. LeDong Power Supply Bureau, Ledong 572500, China
    2South China University of Technology, Guangzhou 510641, China
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https://castjournals.cast.org.cn/joweb/jycl/EN/10.16790/j.cnki.1009-9239.im.2023.05.015
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多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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