摘要
变压器故障诊断可指导制定合适的检修策略,保障电网安全可靠运行。数字电网建设将推动变压器状态监测数据的爆发式增长,给变压器故障分析与诊断带来重大机遇与挑战。阐述了变压器状态监测技术的发展,论述了变压器故障诊断过程中的数据清洗、监测参量预测和故障诊断研究现状,继而指出变压器故障诊断技术发展需解决的几个问题。开展变压器故障诊断分析与研究,对于进一步提升变压器故障诊断的高效性和准确性具有十分重要的意义。
Transformer fault diagnosis can guide the formulation of appropriate maintenance strategy to ensure the safe and reliable operation of power grid.To carry out the analysis and research of transformer fault diagnosis based on data mining is of great significance to further improve the efficiency and accuracy of transformer fault diagnosis.The development of transformer condition monitoring technology was summarized,the data cleaning,monitoring parameter prediction and fault diagnosis research status in the process of transformer fault diagnosis were discussed,and then several problems were pointed out to be solved in the development of transformer fault diagnosis technology.The construction of digital power grid will promote the explosive growth of transformer condition monitoring data and bring great opportunities and challenges to transformer fault analysis and diagnosis.
作者
谭俊明
张诗建
Tan Junming;Zhang Shijian(Guangzhou Power Supply Bureau,Guangdong Power Grid Co.,Ltd.,Guangzhou 510620,China;School of Electric Power,South China University of Technology,Guangzhou 510630,China;Guangzhou Power Electrical Technology Co.,Ltd.,Guangzhou 510535,China)
出处
《机电工程技术》
2021年第10期12-14,140,共4页
Mechanical & Electrical Engineering Technology
关键词
大数据
变压器
故障诊断
人工智能
big digital
transformer
fault diagnosis
artificial intelligence