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基于信息融合方法的电力变压器网络在线监测与故障诊断研究
引用本文:魏守智,王刚,王金东,韩光洁,赵海.基于信息融合方法的电力变压器网络在线监测与故障诊断研究[J].计算机工程与应用,2002,38(22):51-54.
作者姓名:魏守智  王刚  王金东  韩光洁  赵海
作者单位:东北大学信息科学与工程学院,沈阳,110004
基金项目:国家自然科学基金项目(编号:69873007)
摘    要:针对电力变压器在线监测与故障诊断问题,提出了基于多传感器信息融合与嵌入式网络相结合的解决方案。介绍了变压器油中气体分析的原理及诊断方法,重点论述了基于Webit的嵌入式网络在线监测方法,基于BP网络的混合气体识别方法及多传感器一致性信息融合方法等通过试验,验证了方法的有效性。

关 键 词:电力变压器  在线监测  故障诊断  嵌入式网络  BP神经网络  多传感器一致性信息融合
文章编号:1002-8331-(2002)22-0051-04
修稿时间:2002年8月1日

The Study of Power Transformer Network On-line Detection and Fault Diagnosis Based on Information Fusion Method
Wei Shouzhi,Wang Gang Wang Jindong Han Guangjie Zhao Hai.The Study of Power Transformer Network On-line Detection and Fault Diagnosis Based on Information Fusion Method[J].Computer Engineering and Applications,2002,38(22):51-54.
Authors:Wei Shouzhi  Wang Gang Wang Jindong Han Guangjie Zhao Hai
Abstract:Aim at the issue of on-line detection and fault diagnosis of power transformer,a project of multi-sensor in-formation fusion combined with embedded network is proposed.The analysis principle and diagnosis method of dissolved gases in transformer oil is introduced.It is emphasized on embedded network on-line detection method based on Webit,mixed gases identifying method based on BP artificial neural network and coherence information fusion method of mul-ti-sensor.Tests on experimental device show that the proposed method is effective and can be used for network on-line detection of the hidden fault in transformer.
Keywords:Power transformer  on-line detection  fault diagnosis  embedded internet  BP neural network    multi-sensor co-herence information fusion
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