基于云平台的电气设备间歇式局部放电检测系统

带电检测对电气设备内部发生的长间歇式、潜伏性局部放电通常定位为外界干扰,而在线监测易受多源放电以及背景噪声的干扰,导致该类缺陷易发生漏报。在现有带电检测与在线监测基础上,基于云平台技术设计了一套间歇式局部放电检测系统。该系统不仅可以将不同频带的局部放电信号进行采集,通过多频段联合定位的方法完成内部放电缺陷的初步定位,而且具有局部放电模式识别的功能,给出设备内部放电类型。试验结果证明:基于云平台的间歇式局部放电系统可以完成电气设备内部局部放电缺陷的长期跟踪,通过实时检测数据变化、在线数据分析,为异常设备制定相应的检修策略。

Intermittent partial discharge detection system for electrical equipment based on cloud platform

The long intermittent and latent partial discharge occurring inside the electrical equipment during the charging detection process is usually positioned as external interference, while the on line monitoring is liable to be interfered by multi-source discharge and background noise, resulting in false reporting of such defects. Based on the existing live detection and on line monitoring, intermittent partial discharge detection system is designed based on cloud platform technology. The system can not only collect partial discharge signals of different frequency bands, but also complete the initial positioning of internal discharge defects through multi-band positioning method, and contain the function of partial discharge pattern recognition. The test results show that the intermittent partial discharge system for electrical equipment based on cloud platform can complete the long-term tracking of partial discharge, and through the real-time detection data change and online data analysis, the corresponding maintenance strategy is developed for the equipment.