华东交通大学学报2017，Vol.34Issue(3)：131-136,6.
变压器油中溶解气体浓度的GM(1,n)预测
Prediction of Dissolved Gas in Transformer Through GM(1,n) Model
摘要
Abstract
Power transformer is the key equipment of power system, whose state is a cumulative process over time. The content of dissolved gases in transformer oil changes over time. By predicting the concentration of dis-solved gases in transformer oil,we can find the possible faults of the transformer in advance, which may provide some reference for preventive maintenance. Based on the analysis of dissolved gas generation mechanism in transformer oil,this study adopted gray model and obtained the concentration data of dissolved gases by online monitoring system. Through the application of GM (1,n) model,the results showed that this model is able to ob-tain the concentration content of dissolved gases with high accuracy. It thus could offer the pre-warning for the future state of transformer and provide preventive maintenance accordingly.关键词
电力变压器/灰色模型/GM(1,n)模型/故障预测Key words
power transformer/gray model/GM(1/n) model/fault prediction分类
信息技术与安全科学引用本文复制引用
李艳,程宏波,辛建波,康琛..变压器油中溶解气体浓度的GM(1,n)预测[J].华东交通大学学报,2017,34(3):131-136,6.基金项目
江西省重点研发计划项目(20161BBH80033) （20161BBH80033）
江西省博士后择优资助项目(2016KY36) （2016KY36）
