变电主设备局放故障精准辨识与健康管理现场数据集

变电主设备多元传感在线监测装置采集特高频、超声、高频电流监测信号，基于稀疏信号识别、干扰信号抑制及自动定位技术，结合多元数据处理及专家决策实现变电主设备故障诊断和健康管理，快速生成局放故障检修智能辅助决策。变电主设备局部放电故障精准识别与健康管理现场数据集来源于广东电网有限责任公司广州供电局110kV远安站主设备局部放电故障精准识别与健康管理装置，主要记录了台账数据、GIS特高频监测数据、主变超声监测数据、主变高频电流监测数据，数据量600MB。

On-line multi-sensor monitoring devices for main substation equipment collect ultra-high frequency (UHF), ultrasonic and high-frequency current monitoring signals. Leveraging technologies including sparse signal recognition, interference signal suppression and automatic positioning, combined with multi-source data processing and expert decision-making, these devices realize fault diagnosis and health management for main substation equipment, and rapidly generate intelligent auxiliary decisions for partial discharge (PD) fault maintenance. The field dataset for accurate recognition of partial discharge faults and health management of main substation equipment is derived from the partial discharge fault accurate recognition and health management device installed at the 110 kV Yuan'an Substation of Guangzhou Power Supply Bureau of Guangdong Power Grid Co., Ltd. This dataset mainly records ledger data, GIS UHF monitoring data, power transformer ultrasonic monitoring data, and power transformer high-frequency current monitoring data, with a total data size of 600 MB.

搜集汇总

背景与挑战

背景概述

该数据集来源于广东电网有限责任公司广州供电局，记录了变电主设备的台账数据、GIS特高频监测数据、主变超声监测数据和高频电流监测数据，总数据量901.79MB，用于故障诊断和健康管理。