基于大数据的电力自动化故障诊断技术研究  

Research on Power Automation Fault Diagnosis Technology Based on Big Data

作　　者：丰献坤 FENG Xiankun

机构地区：[1]国电南瑞科技股份有限公司深圳分公司,广东深圳518000

出　　处：《今日自动化》2024年第12期148-149,186,共3页Automation Today

摘　　要：随着工业信息化与智能化的快速发展,电力自动化技术应用广泛。然而,其故障诊断难度不断提升,传统的故障诊断方法已难以满足现代化生产的需求。为此,基于大数据的电力自动化故障诊断技术逐渐受到人们关注,为降低故障率提供了新的解决思路。文章概述了电力自动化的发展历程和组成要素,分析了大数据下电力自动化故障诊断技术的应用意义和应用现状,研究了基于大数据的电力自动化故障诊断的关键技术。With the rapid development of industrial information and intelligence,power automation is widely used in many fields.However,the difficulty of fault diagnosis has been increasing,and the traditional fault diagnosis methods have been difficult to meet the needs of modern production.Therefore,the power automation fault diagnosis technology based on big data has gradually attracted people's attention,which provides a new solution for reducing the failure rate.This paper summarizes the development history and components of power automation,analyzes the application significance and current situation of power automation fault diagnosis technology under big data,and studies the key technologies of power automation fault diagnosis based on big data.

关 键 词：大数据 电力自动化 故障诊断技术 

分 类 号：TP311.13[自动化与计算机技术—计算机软件与理论]