电器与能效管理技术Issue(10)：7-18,12.DOI:10.16628/j.cnki.2095-8188.2024.10.002
基于残差网络回归的直流断路器电寿命预测方法
Electrical Life Prediction Method of DC Circuit Breaker Based on Residual Network Regression
摘要
Abstract
According to the breaking characteristics of DC arc,a method for predicting the electrical life of DC circuit breaker is proposed.According to the standard GB/T 14048.2-2020,the voltage waveform during the breaking process is obtained.After CEEMDAN filtering,the voltage signal within a period of arc break is used as the network training sample.The contact mass is used to represent the electrical life condition,and the contact mass decline curve is obtained by linear interpolation,which is used as the network training label.A one-dimensional convolutional structure prediction model of residual network(ResNet)is constructed using Pytorch framework.The experimental results show that the prediction error of the prosed method is less than 10％,which proves that the method can be used to predict the electrical life under GB/T 14048.2-2020 standard.关键词
直流断路器/电寿命预测/残差网络/一维卷积Key words
DC circuit breakers/electrical life prediction/residual network/one-dimensional convolution分类
信息技术与安全科学引用本文复制引用
杨诺铭,吴自然,刘泽州,吴晨茜,吴桂初,林义刚..基于残差网络回归的直流断路器电寿命预测方法[J].电器与能效管理技术,2024,(10):7-18,12.基金项目
浙江省自然科学基金资助(LY23E070001) （LY23E070001）
温州市重大项目资助(ZG2023049) （ZG2023049）
温州市揭榜挂帅项目资助(ZG2023018) （ZG2023018）
