摘要
输电网络作为现代社会不可或缺的基础设施,其安全和稳定运行对于社会发展至关重要。然而,传统的输电网络人工故障诊断方法已经不能满足现代输电网络故障的诊断需求。因此,如何快速、准确地进行故障诊断是电力系统发展中的重要课题。文章将探讨人工智能技术在输电网络故障诊断中的应用,着重阐述输电网络故障诊断面临的技术挑战,并从专家系统技术、人工神经网络技术、模糊理论技术等技术分支,提出人工智能技术在输电网络故障诊断中的应用策略,旨在为提高电力系统的可靠性提供参考。
With the continuous expansion of power system,traditional transmission network manual fault diagnosis methods can not meet the needs of modern transmission network fault diagnosis.Transmission network is an indispensable infrastructure in modern society,and its safe and stable operation is very important for social development.However,various faults often occur in the transmission network,which bring huge losses and troubles to production and life.Therefore,how to diagnose and protect faults quickly and accurately is an important topic in power system.This paper will discuss the application of big data analysis in transmission network fault diagnosis,aiming to provide reference for improving the reliability of power system.
作者
裘天瑜
潘佳兴
QIU Tianyu;PAN Jiaxing(Hebei Institute of Finance,Baoding Hebei 071000,China;Baoding College,Baoding Hebei 071000,China)
出处
《信息与电脑》
2024年第1期146-148,共3页
Information & Computer
关键词
人工智能技术
输电网络
故障诊断
应用述评
artificial intelligence technology
transmission network
fault diagnosis
application review