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Detecting Method of Cable with Water Seepage Defect Based on Time Domain Reflection Technology
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Zhigang REN1, Xueqian ZHAO1, Wei GUO1, Ping CHEN1, Songlin ZHOU1, Chunhua FANG2
Insulating Materials | 2022, 55(1) : 80 - 86
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Insulating Materials | 2022, 55(1): 80-86
• Test and Analysis •
Detecting Method of Cable with Water Seepage Defect Based on Time Domain Reflection Technology
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Zhigang REN1, Xueqian ZHAO1, Wei GUO1, Ping CHEN1, Songlin ZHOU1, Chunhua FANG2
Affiliations
  • 1State Grid Beijing Electric Power Research Institute, Beijing 100075, China
  • 2College of Electricity and New Energy, China Three Gorges University, Yichang 430002, China
Published: 2022-01-20 doi: 10.16790/j.cnki.1009-9239.im.2022.01.013
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Internal water seepage is one of the common faults of cable. The accurate detection, identification, and location of internal water seepage defect in cable play a vital role in improving power safety and stability. On the basis of time-domain reflection technology (TDR) theory, the effects of injection pulse frequency and amplitude attenuation on the effective positioning distance of TDR were analyzed by simulation. The characteristic waveforms of different impedance points were obtained, the resolution method of water seepage defect waveforms was summarized, and the effect of complex reflection wave on the positioning accuracy was studied. The results show that the TDR technology can detect the water seepage defect in cable, and the effective detection distance is about 3.76 km. Different types of defects will return different characteristic waveforms, and when the degree of water seepage is different, the waveform amplitude and wave tail oscillation will also change.

power cable  /  seepage defect  /  time domain reflection
Zhigang REN, Xueqian ZHAO, Wei GUO, Ping CHEN, Songlin ZHOU, Chunhua FANG. Detecting Method of Cable with Water Seepage Defect Based on Time Domain Reflection Technology[J]. Insulating Materials, 2022 , 55 (1) : 80 -86 . DOI: 10.16790/j.cnki.1009-9239.im.2022.01.013
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Article Info
doi: 10.16790/j.cnki.1009-9239.im.2022.01.013
  • Receive Date：2021-01-25
  • Online Date：2025-12-23
  • Published：2022-01-20
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  • Received：2021-01-25
  • Revised：2021-03-23
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Affiliations
    1State Grid Beijing Electric Power Research Institute, Beijing 100075, China
    2College of Electricity and New Energy, China Three Gorges University, Yichang 430002, China
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https://castjournals.cast.org.cn/joweb/jycl/EN/10.16790/j.cnki.1009-9239.im.2022.01.013
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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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