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Defect location method of cable based on S-transform and time-frequency domain reflectometry
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Pengcheng LIU1, Libin TIAN2, Jie FENG1, Chunlü MENG1, Zewei TIAN1, Yuyi CHEN1, Taigu CHEN1, Haoran GUO3
Insulating Materials | 2023, 56(3) : 47 - 53
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Insulating Materials | 2023, 56(3): 47-53
Insulation Technology
Defect location method of cable based on S-transform and time-frequency domain reflectometry
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Pengcheng LIU1, Libin TIAN2, Jie FENG1, Chunlü MENG1, Zewei TIAN1, Yuyi CHEN1, Taigu CHEN1, Haoran GUO3
Affiliations
  • 1Ledong Power Supply Bureau, Hainan Power Grid Co., Ltd., Ledong 572500, China
  • 2South China University of Technology, Guangzhou 510641, China
  • 3Huazhong University of Science and Technology, Wuhan 430074, China
Published: 2023-03-20 doi: 10.16790/j.cnki.1009-9239.im.2023.03.008
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A new method based on S-transform and time-frequency domain reflection (TFDR) was proposed to locate the local defect of power cable. The principle of traditional cable defect location method was analyzed firstly. The time-frequency distribution of the TFDR test waveform was obtained by S-transform, and the time-frequency cross-correlation function of time-frequency distribution was calculated. Then the location of cable local defect was estimated by the local peak of the time-frequency cross-correlation function curves. The results show that compared with the traditional TFDR methods, there is no cross-term interference problem in the time-frequency distribution for the proposed method, so the local peak of interference in the time-frequency cross-correlation function curve is eliminated, and the reliability of cable defect location results is high and the detection blind area of local defect is small. Finally, the simulation and measurement analysis were carried out on the 10 kV cross-linked polyethylene (XLPE) cable, and the results show that the proposed method can effectively locate the local defect of cable and the absolute error of defect location is small.

time-frequency domain reflection  /  cable defect  /  S-transform  /  time-frequency distribution  /  time-frequency cross-correlation function
Pengcheng LIU, Libin TIAN, Jie FENG, Chunlü MENG, Zewei TIAN, Yuyi CHEN, Taigu CHEN, Haoran GUO. Defect location method of cable based on S-transform and time-frequency domain reflectometry[J]. Insulating Materials, 2023 , 56 (3) : 47 -53 . DOI: 10.16790/j.cnki.1009-9239.im.2023.03.008
Year 2023 volume 56 Issue 3
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Article Info
doi: 10.16790/j.cnki.1009-9239.im.2023.03.008
  • Receive Date:2022-01-23
  • Online Date:2025-11-21
  • Published:2023-03-20
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History
  • Received:2022-01-23
  • Revised:2022-03-07
Funding
Affiliations
    1Ledong Power Supply Bureau, Hainan Power Grid Co., Ltd., Ledong 572500, China
    2South China University of Technology, Guangzhou 510641, China
    3Huazhong University of Science and Technology, Wuhan 430074, China
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https://castjournals.cast.org.cn/joweb/jycl/EN/10.16790/j.cnki.1009-9239.im.2023.03.008
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表12种不同金属材料的力学参数

Family
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Number of
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种数
Number of
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
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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