2024 Vol.7 Feb.N01

• Title: Research on Online Detection of Power Cable Faults
• Name: Xiaoli Cao 1 , Lijun Zhu 2
• Company: 1. Sias University, zhengzhou，451100 China 2. Xinzheng Secondary Specialised School, zhengzhou, Henan 451199 China
• Abstract:

  In view of the current frequent occurrence of power cable faults, power cable cable fault detection methods have a significant impact on the accuracy and feasibility of the positioning results, the paper uses the PADS simulation platform to establish a power cable fault model, combined with the cable characteristics to establish a system model, the fault detection algorithm SVM method of power cables is studied, using the test signal transmitted on the cable, detection and analysis, and according to transmission time difference and other parameters to determine the fault distance, after simulation and analysis of the test signal, the feasibility of SVM algorithm in power cable fault location is verified.

  
  

• Keyword: cable fault, SVM, PADS, localisation
• DOI: 10.12250/jpciams2024090203
• Citation form: Xiaoli Cao.Research on Online Detection of Power Cable Faults [J]. Computer Informatization and Mechanical System,2024,Vol.7,pp.12-14

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