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Subway cable defect localization method based on PRTF and time-frequency domain reflectometry
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Xiangyang XIA1, Xiaozu PENG1, *, Wenqi BAI2, Junshan XIA3, De XIANG2, Ruiqi WANG3, Bolin LI1, Li DENG1, Dan LU1
Insulating Materials | 2026, 59(5) : 104 - 112
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Insulating Materials | 2026, 59(5): 104-112
Test and Analysis
Subway cable defect localization method based on PRTF and time-frequency domain reflectometry
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Xiangyang XIA1, Xiaozu PENG1, *, Wenqi BAI2, Junshan XIA3, De XIANG2, Ruiqi WANG3, Bolin LI1, Li DENG1, Dan LU1
Affiliations
  • 1School of Electrical and Information Engineering, Changsha University of Science and Technology, Changsha 410114, China
  • 2Hunan Institute of Metrology and Testing, Changsha 410014, China
  • 3Jinbei Electric Hengyang Cable Co., Ltd., Hengyang 421007, China
Published: 2026-05-20 doi: 10.16790/j.cnki.1009-9239.im.2026.05.012
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To address the problems of low time-frequency resolution and cross-term interference in the identification and localization of subway cable defects using time-frequency domain reflectometry (TFDR), this paper proposed a parameterized resampling time-frequency transform (PRTF) method as a time-frequency analysis approach for TFDR test signals. The PRTF method employed a Gaussian-envelope linear frequency modulation signal as the test signal, combined it with a dynamic resampling operator and an adaptive time-frequency atomic decomposition technique, and further introduced a normalized time-frequency cross-correlation function. By extracting time-delay information from local peaks, accurate defect localization was achieved. Simulation experiments were conducted on a flexible control cable in flame-retardant class B1 for subways, and a defect was preset at a distance of 3 900 m from the head end to verify the effectiveness of the proposed method. The results show that compared with the traditional Wigner-Ville distribution (WVD), short-time Fourier transform (STFT), and continuous wavelet transform (CWT) methods, the proposed method achieves a localization error of only 5.5 m, and its time-frequency cross-correlation function curve is free of interference terms. In contrast, the WVD method suffers from significant interference terms, while the localization errors of the STFT and CWT methods both exceed 16 m. The proposed method significantly improves the detection sensitivity and localization reliability of weak local defects in subway cables.

subway cable defect localization  /  time-frequency domain reflectometry (TFDR)  /  parameterized resampling time-frequency transform (PRTF)  /  time-frequency cross-correlation function (TFCC)
Xiangyang XIA, Xiaozu PENG, Wenqi BAI, Junshan XIA, De XIANG, Ruiqi WANG, Bolin LI, Li DENG, Dan LU. Subway cable defect localization method based on PRTF and time-frequency domain reflectometry[J]. Insulating Materials, 2026 , 59 (5) : 104 -112 . DOI: 10.16790/j.cnki.1009-9239.im.2026.05.012
Year 2026 volume 59 Issue 5
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Article Info
doi: 10.16790/j.cnki.1009-9239.im.2026.05.012
  • Receive Date:2025-05-30
  • Online Date:2026-09-10
  • Published:2026-05-20
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  • Received:2025-05-30
  • Revised:2025-09-02
Affiliations
    1School of Electrical and Information Engineering, Changsha University of Science and Technology, Changsha 410114, China
    2Hunan Institute of Metrology and Testing, Changsha 410014, China
    3Jinbei Electric Hengyang Cable Co., Ltd., Hengyang 421007, China
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表12种不同金属材料的力学参数

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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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