基于大数据的变电站故障诊断与预测
Diagnosis and Prediction of Substation Faults Based on Big Data
张飚1
作者信息
- 1. 中国能源建设集团广西电力设计研究院有限公司,广西南宁 530000
- 折叠
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.
Abstract
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.
关键词
大数据/故障诊断/故障预测Key words
big data/fault diagnosis/fault prediction引用本文复制引用
出版年
2024
NETL
NSTL
万方数据