Abstract Details
  1. Home
  2. Abstract List
  3. Abstract Details
36 / 2023-09-27 10:48:59
A New Method for Defect localization of Cable Based on Pisarenko Harmonic Decomposition
reflection coefficient spectrum; Pisarenko harmonic decomposition; defect localization; frequency domain reflectometry
4.High voltage and insulation technology > (4)、Other topics in high voltage and insulation technology
Final Paper
Jie Feng / Sichuan Shuneng electric Energy Technology Co., LTD；State Grid Sichuan Electric Power Company electric power Science Research Institute
Daxing Wang / Sichuan Shuneng electric Energy Technology Co., LTD；State Grid Sichuan Electric Power Company electric power Science Research Institute
Xinghong Zhao / Sichuan Shuneng electric Energy Technology Co., LTD
Frequency domain reflectometry (FDR) has been widely used for defect detection in cables. However, the reflection coefficient spectrum is a non-periodic random signal, which leads to spectral leakage during the FFT process. Therefore, it is necessary for the staff to add window functions manually with experience to reduce the influence of spectral leakage on defect localization. In this paper, a new method of cable defect localization based on Pisarenko harmonic decomposition is proposed, which uses a linear difference model to fit the distribution of the reflection coefficient spectrum. Then,  in order to estimate the frequency of each component, an auto-regression-moving average (ARMA) prediction model is built. Finally, the defects localization is completed by estimated the parameters of the ARMA model. The feasibility of the proposed method is verified through the simulation of the cable model with defects.

 
Important Date

  • Conference Date

    Dec 08

    2023

    to

    Dec 10

    2023

  • Nov 01 2023

    Draft paper submission deadline

  • Dec 10 2023

    Registration deadline

Sponsored By
IEEE IAS
Organized By
Southwest Jiaotong University (SWJTU)
Contact Information
Login to view full contact details
Previous Conferences