长江信息通信2024,Vol.37Issue(11) :99-101.DOI:10.20153/j.issn.2096-9759.2024.11.029

基于时间序列分析的高频通信系统接收电路故障诊断方法

Receiving Circuit Fault Diagnosis Method of High-frequency Communication System Based on Time Series Analysis

胡延伟 马占书
长江信息通信2024,Vol.37Issue(11) :99-101.DOI:10.20153/j.issn.2096-9759.2024.11.029

基于时间序列分析的高频通信系统接收电路故障诊断方法

Receiving Circuit Fault Diagnosis Method of High-frequency Communication System Based on Time Series Analysis

胡延伟 1马占书2
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作者信息

  • 1. 南充职业技术学院,四川南充 637100
  • 2. 通号工程局集团北京研究设计实验中心有限公司,北京 100070
  • 折叠

摘要

现有的高频通信系统接收电路诊断方法对不同故障点中的误诊率较高,接收灵敏度出现明显下降现象,对此,研究基于时间序列分析的高频通信系统接收电路故障诊断方法.首先,采集高频通信系统接收电路中的电路信号.然后,运用时间序列分析法对高频通信系统接收电路多通道信号进行故障特征提取.最后,运用相似度法获得经过高频通信系统接收电路的信号在峰度变化趋势之间的相似性,并与阈值进行比较以实现故障诊断.实验结果表明,实验组灵敏度维持在60~70dBm,信号的稳定性良好;误诊率为0%~0.1%,误诊率较低,能够有效提高故障诊断的准确性,具有实用性.

Abstract

The existing diagnostic methods for receiving circuits in high-frequency communica-tion systems have a high misdiagnosis rate for different fault points,and there is a significant de-crease in receiving sensitivity.Therefore,a fault diagnosis method for receiving circuits in high-frequency communication systems based on time series analysis is studied.Firstly,collect the cir-cuit signals in the receiving circuit of the high-frequency communication system.Then,the time series analysis method is used to extract fault features from multi-channel signals in the receiving circuit of the high-frequency communication system.Finally,the similarity method is used to obtain the similarity between the kurtosis trends of the signals received by the high-frequency communication system's receiving circuit,and compared with the threshold to achieve fault di-agnosis.The experimental results show that the sensitivity of the experimental group is main-tained at 60-70dBm,and the stability of the signal is good;The misdiagnosis rate is 0%~0.1%,which is relatively low and can effectively improve the accuracy of fault diagnosis,making it practical.

关键词

时间序列/高频通信/电路故障/诊断

Key words

time series/high-frequency communication/circuit fault/diagnosis

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出版年

2024
长江信息通信
湖北通信服务公司

长江信息通信

影响因子:0.338
ISSN:2096-9759
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