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基于带电检测技术的超高压电力设备运维检修系统设计

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超高压电力设备运维面临着供电可靠性和检修效率的双重挑战.文章针对这一难题,提出一种基于带电检测技术的智能运维检修系统.系统采用光纤传感器对设备状态进行在线监测,通过无线中继节点实现数据高速传输,并利用机器学习算法对海量数据进行智能诊断.测试结果表明,该系统能够以98.3%的准确率识别局部放电缺陷,端到端时延低于150 ms,服务可用性达99.99%,为提高超高压电力设备运维水平提供了新思路和新方法.
Design of a Maintenance and Inspection System for Extra-High Voltage Power Equipment Based on Electric Charge Detection Technology
Maintaining ultra-high voltage power equipment is challenging due to the need for both reliable power supply and efficient repairs.This paper introduces a smart maintenance system that uses live testing technology.It monitors equipment with fiber optic sensors,sends data quickly through wireless nodes,and uses machine learning to analyze large amounts of data.Tests show the system can accurately find partial discharge problems 98.3%of the time,with a response time under 150 ms and a service reliability of 99.99%.This offers a new way to improve how we maintain ultra-high voltage power equipment.

ultra-high voltagelive testingsmart maintenance

勇天泽、马赛、张洺源、刘俊康、苏亮

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国网吉林省电力有限公司超高压公司,吉林 长春 130000

超高压 带电检测 智能运维

2024

通信电源技术
武汉普天通信设备集团有限公司

通信电源技术

影响因子:0.389
ISSN:1009-3664
年,卷(期):2024.41(14)
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