电器与能效管理技术Issue(4)：7-14,8.DOI:10.16628/j.cnki.2095-8188.2025.04.002
基于脉冲神经网络的低压交流串联故障电弧识别方法研究
Research on Low Voltage AC Series Fault Arc Identification Based on Spiking Neural Network
摘要
Abstract
In order to solve the problems of misjudgment,missing judgment and slow identification speed when the series fault arc is suddenly connected to the circuit,a low voltage AC series fault arc identification method based on spiking neural network is proposed.The current arc signal is preprocessed by Markov transition field,and the fault arc identification model is constructed by introducing Poisson coding and spiking neurons.The results show that the proposed method can effectively encode the fault arc image,and the accuracy of fault detection is higher than that of the traditional neural network,which can reach more than 98％.关键词
故障电弧/脉冲编码/神经元模型/脉冲神经网络Key words
fault arc/spiking coding/neuron model/spiking neural network分类
动力与电气工程引用本文复制引用
陈祖快,李靖,沈玉文,江松..基于脉冲神经网络的低压交流串联故障电弧识别方法研究[J].电器与能效管理技术,2025,(4):7-14,8.基金项目
温州市重大科技创新攻关项目(2024-00085) （2024-00085）
