Transformer Incipient Fault Monitoring Using DGA

Atul A. Barhate, D. P. J. Shah, Dr. Manoj E. Pati
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Abstract

– Dissolved gas analysis (DGA) is most reliable and trustful tool for monitoring the health status of transformer. Using DGA can monitoring the status of concentration level of various combustible gaseous in transformer oil? The concentration of combustible gaseous use as determining the status of transformer oil to diagnose the incipient fault or indicator of undesirable event inside the transformer transformer has may be suffer from incipient fault such as partial discharge, electrical arcing, overheating, hot spot. Here neural network is used to diagnose the status of transformer to reduce human error as well as time. Here DGA data is get from various substation and analyses it and reach to conclusion that which type of fault to be occur in transformer and can save the transformer.
基于DGA的变压器早期故障监测
-溶解气体分析(DGA)是监测变压器健康状态最可靠、最值得信赖的工具。用DGA能监测变压器油中各种可燃气体的浓度水平状况吗?可燃气体的浓度可用来判断变压器油的状态,诊断变压器内部不良事件或指示变压器可能发生的局部放电、电弧、过热、热点等早期故障。本文采用神经网络对变压器进行状态诊断,减少了人为误差,缩短了时间。本文通过对各变电站的DGA数据进行分析,得出变压器应发生何种类型的故障,从而挽救变压器。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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