变压器状态评估及故障诊断研究综述

电力变压器状态评估及故障诊断为设备安全稳定运行提供了重要保障。在电力大数据广泛应用的背景下,智能电网结构快速构建,电力设备状态数据呈现出数量大、类型多等特征,因而变压器状态评估及故障诊断算法由阈值判断法逐步过渡为机器学习等算法。本文作者总结了近年来国内外变压器监测研究中采用的方法;概述了变压器状态评估和故障诊断领域的研究现状,介绍了常用算法相关原理,包括模糊理论法、集对分析法、传统机器学习算法、预测算法和深度机器学习算法等;分析了目前该领域亟需解决的问题,并对未来研究方向进行了展望。

Investigation of the gas bubble dynamics induced by an electric arc in insulation oil

In this work,experimental and theoretical studies were carried out on arc-induced bubble dynamic behaviors in insulation oil.Direct experimental evidence indicated that the arc-induced bubble experiences pulsating growth rather than a continuous expansion.Furthermore,a theoretical model and numerical calculation method were proposed,which revealed the dynamic mechanism of bubble growth.Good agreement between the theoretical results and experimental observations verified the general correctness and feasibility of the proposed method.