电测与仪表2017，Vol.54Issue(21)：61-66,6.
基于动态阈值的变压器异常状态检测
Abnormal condition detection of power transformer based on dynamical threshold
摘要
Abstract
In order to improve the efficiency of condition based maintenance and the capability of abnormal condition detection and warning ability,a new method based on dynamical threshold for abnormal operation condition detection was proposed.Baselines of the parameters are depicted through the establishment of dynamical prediction model.On such basis,the Bayesian network is utilized for calculating the operating state of transformer,which uses the probabili-ty to decide its potential condition.Finally,the proposed method is verified through using the field acquired data.Nu-merical simulation results show that the proposed method in this paper can detect the abnormal state of the power transformer effectively and which can also provide a warning of those possible abnormal conditions.关键词
动态阈值/贝叶斯网络/电力变压器/异常状态Key words
dynamical threshold/Bayesian network/power transformer/abnormal condition分类
信息技术与安全科学引用本文复制引用
刘勇,尹豪杰,张星海,范松海,严磊,高波..基于动态阈值的变压器异常状态检测[J].电测与仪表,2017,54(21):61-66,6.基金项目
国家电网公司科技项目(521997140005) （521997140005）
