基于机器学习的非接触式继电器测试系统故障诊断分析
Analysis of Fault Diagnosis for Non Contact Relay Testing System Based on Machine Learning
阮跃林 1杨伟荣 1宁麒1
作者信息
- 1. 云南电网有限责任公司曲靖供电局,云南 655000
- 折叠
摘要
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.
Abstract
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.
关键词
机器学习/非接触式继电器/电磁信号/测试系统Key words
machine learning/non-contact relays/electromagnetic signals/testing systems引用本文复制引用
出版年
2024
NETL
NSTL
万方数据