科技创新与应用2025，Vol.15Issue(17)：182-185,4.DOI:10.19981/j.CN23-1581/G3.2025.17.040
高压电气设备局部放电在线监测技术与应用
张红彬 1黄明辉 1乔亚飞2
作者信息
- 1. 福州天宇电气股份有限公司,福州 350109
- 2. 河南省高压电器研究所有限公司,河南 平顶山 467001
- 折叠
摘要
Abstract
With the deepening of the construction of smart grids,the safe and stable operation of high-voltage electrical equipment has put forward higher requirements for the reliability of the power system.Partial discharge monitoring is an important means to evaluate the insulation status of high-voltage electrical equipment,and the research and application of its online monitoring technology are of great significance.Aiming at the limitations of traditional offline detection methods,an online partial discharge monitoring scheme based on ultra-high frequency sensors and artificial intelligence is proposed.By establishing a discharge pattern recognition model,real-time evaluation of equipment insulation status is realized.Experimental results show that the discharge identification accuracy rate of this scheme reaches more than 95%,which can effectively warn equipment insulation hazards and provide a reliable basis for preventive maintenance.关键词
高压电气设备/局部放电/在线监测/超高频传感器/人工智能/模式识别Key words
high-voltage electrical equipment/partial discharge/online monitoring/ultra-high frequency sensors/artificial intelligence/pattern recognition分类
信息技术与安全科学引用本文复制引用
张红彬,黄明辉,乔亚飞..高压电气设备局部放电在线监测技术与应用[J].科技创新与应用,2025,15(17):182-185,4.
