A frequency-domain detection method for railway signal cable faults
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School of Electrical Engineering, Chongqing University, Chongqing 400044, P. R. China

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TM755

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Supported by Research Project on Artificial Intelligence Analysis Algorithm of User Load and Non-contact Front-end Sensing System in Dongguan Power Supply Bureau in 2022.

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    Abstract:

    Fault detection of railroad signal cables is of great significance for ensuring the safe operation of railroad systems. To address the most common high-resistance fault problem in railroad signal cables, the inhomogeneous characteristics of cable structures are analyzed by measuring the electrical parameters of multiple 1 m cable segments. Based on these measurements, a normal model of inhomogeneous cable parameters is constructed, followed by the establishment of an inhomogeneous high-resistance fault simulation model for railroad signal cables. The feasibility of the frequency-domain reflectometry (FDR) method for locating high-resistance faults in railroad signal cables is then verified. Furthermore, a dedicated hardware system based on the FDR method is independently designed. This system transmits a 0.1 MHz to 5 MHz swept-frequency signal into the cable and collects the reflected signals required for FDR analysis through an intermediate-frequency detector. The collected data are subsequently processed on a host computer to realize the localization of high-resistance faults with resistance values of 0.1 MΩ and 0.5 MΩ within a cable length of 1 000 m. Experimental results confirm the effectiveness and accuracy of the FDR method for detecting and locating high-resistance faults in railroad signal cables.

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晋科,徐征.铁路信号电缆故障频域检测法[J].重庆大学学报,2026,49(3):25~37

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History
  • Received:December 17,2023
  • Revised:
  • Adopted:
  • Online: April 02,2026
  • Published:
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