摘要
文章探讨了基于人工智能技术的电力变压器健康评估新模式,建立了一种多维劣度指标体系,形成了一套变压器健康度模型和寿命预测模型。该模型依托理论结合电力网络现状,建立了基于人工智能的常态化在线监测系统。系统可实时采集现有传感器数据,通过多维劣度融合算法,实现变压器健康度实时监测,并在健康度恶化前提前发布相关预警。
The article explores a new model for health assessment of power transformers based on artificial intelligence technology,establishes a multidimensional deterioration index system,and forms a set of transformer health and life prediction models.Based on theory and the current situation of the power network,a normalized online monitoring system based on artificial intelligence is established to collect existing sensor data in real time.Through multidimensional deterioration fusion algorithm,real-time monitoring of transformer health is achieved,and relevant warnings are issued in advance before the health deteriorates.
作者
嵇夏
王佳
JI Xia;WANG Jia(China Information Consulting and Designing Institute Co.,Ltd.)
出处
《江苏通信》
2025年第3期73-76,共4页
Jiangsu Communication
关键词
电力运维
健康度评估
多维劣度
变压器故障诊断
power operation and maintenance
health assessment
multidimensional deterioration
transformer fault diagnosis
