EconPapers    
Economics at your fingertips  
 

Frequency Domain Sampling Optimization of Cable Defect Detection and Location Method Based on Exponentially Increased Frequency Reflection Coefficient Spectrum

Kuangyi Jiang, Kai Zhou (), Xiang Ren and Yefei Xu
Additional contact information
Kuangyi Jiang: High Voltage Laboratory, Sichuan University, Chengdu 610065, China
Kai Zhou: High Voltage Laboratory, Sichuan University, Chengdu 610065, China
Xiang Ren: Electric Power Research Institute, State Grid Hubei Electric Power Co., Ltd., Wuhan 430077, China
Yefei Xu: High Voltage Laboratory, Sichuan University, Chengdu 610065, China

Energies, 2025, vol. 18, issue 10, 1-15

Abstract: The existing linear frequency increment cable defect detection method using frequency domain reflectometry suffers from severe pseudo-peak phenomena due to non-targeted frequency domain sampling, which interferes with diagnosis. To address this issue, this paper proposes an optimized frequency domain sampling method based on the exponential frequency increment reflection coefficient spectrum. This method optimizes the distribution of frequency domain sampling points, reducing the sampling of high-frequency noise signals, thereby effectively suppressing pseudo-peaks. Research indicates that the low-frequency band of the cable reflection coefficient spectrum contains richer information about the cable’s condition and has less noise compared to the high-frequency band. Therefore, an exponential frequency increment is used instead of the current linear frequency increment, resulting in a denser sampling in the low-frequency band and sparser sampling in the high-frequency band, better matching the information distribution characteristics of the cable reflection coefficient spectrum. To avoid spectral leakage caused by non-uniform sampling under exponential frequency increments, this method locally linearizes exponential sampling and uses interpolation to complete the overall frequency sampling rate, ensuring it meets the basic assumption of Fourier transform—uniform and equally spaced sampling signals. Finally, this method was validated on a 500 m laboratory test cable and a 2000 m operational cable. Experimental results show that this method can make the amplitude of regions other than impedance mismatch points in the positioning curve flatter and effectively suppress abnormal peak interference, significantly improving the accuracy of defect diagnosis.

Keywords: frequency domain reflection method; exponential frequency increase; defect location; frequency domain sampling optimization; abnormal peak suppression (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1996-1073/18/10/2428/pdf (application/pdf)
https://www.mdpi.com/1996-1073/18/10/2428/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:18:y:2025:i:10:p:2428-:d:1651933

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().

 
Page updated 2025-05-09
Handle: RePEc:gam:jeners:v:18:y:2025:i:10:p:2428-:d:1651933