TY - GEN
T1 - Defect Location and Identification Method for Long-Distance Cable Based on Frequency Modulated Continuous Wave
AU - Li, Shurong
AU - Li, Ao
AU - Wang, Binjiang
AU - Zhu, Xiaoguang
AU - Deng, Junbo
AU - Zhang, Guanjun
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - Conventional frequency domain reflectometry faces challenges in detecting local defects for long-distance cables, such as weak anti-interference capability, large shielding zone, and inability to identify defect types. To address these issues, a method for defect location and identification based on frequency modulated continuous wave is proposed in this paper. Firstly, the principle of defect location is introduced, where the wave is injected into the cable head, and the beat signal carrying the information of defect location and characteristics is obtained. Secondly, the diagnostic function for local defects is constructed utilizing the generalized orthogonal integration algorithm, and the identification criterion for defect types is proposed based on the diagnostic waveforms. The position of the diagnostic peak is used for defect location, and the polarity of that is used for type recognition. Finally, the effectiveness of the proposed method is verified by simulation and experimentation. The results indicate that the method can accurately locate the local defect, with a relative location error of less than 0.3%, and the criterion can efficiently identify the defect types.
AB - Conventional frequency domain reflectometry faces challenges in detecting local defects for long-distance cables, such as weak anti-interference capability, large shielding zone, and inability to identify defect types. To address these issues, a method for defect location and identification based on frequency modulated continuous wave is proposed in this paper. Firstly, the principle of defect location is introduced, where the wave is injected into the cable head, and the beat signal carrying the information of defect location and characteristics is obtained. Secondly, the diagnostic function for local defects is constructed utilizing the generalized orthogonal integration algorithm, and the identification criterion for defect types is proposed based on the diagnostic waveforms. The position of the diagnostic peak is used for defect location, and the polarity of that is used for type recognition. Finally, the effectiveness of the proposed method is verified by simulation and experimentation. The results indicate that the method can accurately locate the local defect, with a relative location error of less than 0.3%, and the criterion can efficiently identify the defect types.
KW - Frequency modulated continuous wave
KW - defect location
KW - local defect
KW - long-distance cable
KW - type identification
UR - https://www.scopus.com/pages/publications/85202295749
U2 - 10.1109/ICD59037.2024.10613080
DO - 10.1109/ICD59037.2024.10613080
M3 - 会议稿件
AN - SCOPUS:85202295749
T3 - Proceedings of the 2024 IEEE 5th International Conference on Dielectrics, ICD 2024
BT - Proceedings of the 2024 IEEE 5th International Conference on Dielectrics, ICD 2024
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 5th IEEE International Conference on Dielectrics, ICD 2024
Y2 - 30 June 2024 through 4 July 2024
ER -