摘要
随着经济社会的快速发展,电力规模越来越大,若仍使用传统方式巡查变电站故障,则不仅会导致整体效率低下,还会大幅度提高出现失误的概率。而大数据技术可以准确发现变电站故障位置,因此深入分析基于大数据的变电站故障诊断与预测,为相关工作开展提供有效参考。
With the rapid development of the economy and society,the scale of electricity is getting larger and larger.Using traditional methods to inspect substation faults not only leads to overall low efficiency,but also significantly increases the probability of errors.And big data technology can accurately identify the location of substation faults,so in-depth analysis of substation fault diagnosis and prediction based on big data provides effective reference for related work.
作者
张飚
ZHANG Biao(China Energy Construction Group Guangxi Electric Power Design and Research Institute Co.,Ltd.,Nanning 530000,China)
出处
《通信电源技术》
2024年第10期236-238,共3页
Telecom Power Technology
关键词
大数据
故障诊断
故障预测
big data
fault diagnosis
fault prediction