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Cable defect location method based on Z transformation of reflection coefficient spectrum
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Weijun WANG1, Min CHEN1, Hui YIN1, Yuan LI2
Insulating Materials | 2024, 57(1) : 109 - 115
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Insulating Materials | 2024, 57(1): 109-115
Test and Analysis
Cable defect location method based on Z transformation of reflection coefficient spectrum
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Weijun WANG1, Min CHEN1, Hui YIN1, Yuan LI2
Affiliations
  • 1Guiyang Power Supply Bureau, Guizhou Power Grid Co., Ltd., Guiyang 550004, China
  • 2College of Electrical Engineering, Sichuan University, Chengdu 610065, China
Published: 2024-01-20 doi: 10.16790/j.cnki.1009-9239.im.2024.01.016
Outline
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Aimed at the problems of low resolution and high data redundancy in traditional defect location functions, we proposed a cable defect location method based on Z transformation of reflection coefficient spectrum. Firstly, a reflection coefficient spectrum model of cable was established by the transmission line theory, and the feasibility of locating cable defect by the reflection coefficient spectrum was analyzed. Then, the principle of Z transformation was introduced. On the basis of reflection coefficient spectrum characteristics, the parameter values in Z transformation algorithm were determined, and a new cable defect localization function was constructed. The simulation and test results of defect location experiment show that compared with the traditional methods, the proposed cable defect location function has higher resolution and lower data redundancy, which can locate cable defect more accurately and reduce the effect of interference peaks, providing a new idea for cable defect location.

power cable  /  frequency domain reflection method  /  reflection coefficient spectrum  /  Z transformation  /  defect location
Weijun WANG, Min CHEN, Hui YIN, Yuan LI. Cable defect location method based on Z transformation of reflection coefficient spectrum[J]. Insulating Materials, 2024 , 57 (1) : 109 -115 . DOI: 10.16790/j.cnki.1009-9239.im.2024.01.016
Year 2024 volume 57 Issue 1
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Article Info
doi: 10.16790/j.cnki.1009-9239.im.2024.01.016
  • Receive Date:2023-02-08
  • Online Date:2025-12-22
  • Published:2024-01-20
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History
  • Received:2023-02-08
  • Revised:2023-03-23
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    1Guiyang Power Supply Bureau, Guizhou Power Grid Co., Ltd., Guiyang 550004, China
    2College of Electrical Engineering, Sichuan University, Chengdu 610065, China
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Number of
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小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
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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