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基于电力线通信的电缆智能诊断(一):含异常的高频信道传输模型

梁栋 刘虎 王梓伦 雒美娟 张怡华 赵腾卓 何雨阳 宋凡 胡正伟

电力信息与通信技术2025,Vol.23Issue(8):9-17,9.
电力信息与通信技术2025,Vol.23Issue(8):9-17,9.DOI:10.16543/j.2095-641x.electric.power.ict.2025.08.02

基于电力线通信的电缆智能诊断(一):含异常的高频信道传输模型

Intelligent Cable Diagnosis Based on Power Line Communication(Part Ⅰ):High-frequency Channel Transmission Model With Anomalies

梁栋 1刘虎 1王梓伦 1雒美娟 1张怡华 1赵腾卓 1何雨阳 1宋凡 1胡正伟2

作者信息

  • 1. 西安理工大学 电气工程学院,陕西省 西安市 710048
  • 2. 华北电力大学 电子与通信工程系,河北省 保定市 071003
  • 折叠

摘要

Abstract

Power line communication and power frequency energy transmission share the same medium,and there is a natural and close connection between the two.As a carrier of high-frequency communication signals,the subtle dynamic changes in the physical properties of power lines will significantly affect the transmission characteristics of broadband communication signals.However,the lack of a clear model for the high-frequency channel characteristics of power lines with complex abnormal conditions has hindered the development of new cable state reverse detection technologies.This paper proposes a fusion strategy and modeling method of cable aging parameter model and power line channel model,which realizes the modeling of power line channel transmission characteristics of cables under different aging states.Starting from the mechanism of cable insulation aging,the generation and evolution path of aging phenomena were analyzed,and then a hybrid tree branch aging model and thermal aging model were constructed.The cable aging parameter model and the channel model are integrated to establish a power line channel transmission model that can reflect aging and abnormal effects.This study provides a theoretical framework and practical guidance for a deeper understanding of cable aging processes,how to subtly reshape channel characteristics,and how to use relevant theories for accurate prediction and detection of cable aging in engineering practice.

关键词

电力线通信/树枝老化/热老化/老化信道模型/异常检测

Key words

power line communication/branch aging/thermal aging/aging channel model/anomaly detection

分类

信息技术与安全科学

引用本文复制引用

梁栋,刘虎,王梓伦,雒美娟,张怡华,赵腾卓,何雨阳,宋凡,胡正伟..基于电力线通信的电缆智能诊断(一):含异常的高频信道传输模型[J].电力信息与通信技术,2025,23(8):9-17,9.

基金项目

国家自然科学基金项目(52207174/52177083) (52207174/52177083)

陕西省自然科学基金(2023-JC-YB-398). (2023-JC-YB-398)

电力信息与通信技术

1672-4844

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