首页|基于机器学习的非接触式继电器测试系统故障诊断分析

基于机器学习的非接触式继电器测试系统故障诊断分析

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阐述传统的继电器测试方法采用直流电进行测试,导致测试结果不准确、精度不高.为此,提出基于机器学习的非接触式继电器测试系统,通过分析继电器开关瞬间产生的电磁信号来进行故障诊断.
Analysis of Fault Diagnosis for Non Contact Relay Testing System Based on Machine Learning
This paper describes that the traditional relay testing method uses direct current for testing,which leads to inaccurate test results and low accuracy.It proposes a non-contact relay testing system based on machine learning,which performs fault diagnosis by analyzing the electromagnetic signals generated instantly by relay switches.

machine learningnon-contact relayselectromagnetic signalstesting systems

阮跃林、杨伟荣、宁麒

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云南电网有限责任公司曲靖供电局,云南 655000

机器学习 非接触式继电器 电磁信号 测试系统

2024

电子技术
上海市电子学会,上海市通信学会

电子技术

影响因子:0.296
ISSN:1000-0755
年,卷(期):2024.53(11)