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变压器油中气体在线故障诊断装置的设计
引用本文:高忠升,张慧芬,孟海龙.变压器油中气体在线故障诊断装置的设计[J].山东轻工业学院学报,2006,20(2):10-13.
作者姓名:高忠升  张慧芬  孟海龙
作者单位:[1]济钢集团生产部,山东济南250101 [2]济南大学,信息学院,山东济南250002
摘    要:大型电力变压器对电力系统的安全运行起着重要作用,对它的故障检测具有重要意义.本文在分析神经网络用于故障检测的方法的基础上,设计了一种基于改进BP神经网络的智能在线检测装置,通过对变压器油中气体的检测分析,实现了变压器故障的在线检测,能有效的克服扰动,表现出良好的鲁棒性和控制精度.

关 键 词:电力变压器  神经网络  故障诊断
文章编号:1004-4280(2006)02-0010-04
收稿时间:2005-11-01
修稿时间:2005年11月1日

Design of apparatus on line of intelligent diagnose gas in big electric transformer oil
GAO Zhong-sheng,ZHANG Hui-fen,MENG Hai-long.Design of apparatus on line of intelligent diagnose gas in big electric transformer oil[J].Journal of Shandong Institute of Light Industry(Natural Science Edition),2006,20(2):10-13.
Authors:GAO Zhong-sheng  ZHANG Hui-fen  MENG Hai-long
Affiliation:1. Production Ministry of Co. Jigang,Jinan 250101, China; 2. School of Infromation, Jinan University, Jinan 250002, China
Abstract:Big high voltage transformers is one of the most important electrical equipment and plays an important rule in electrical power security run. Fault diagnose of it is very significant. The paper designed a intelligent diagnosing apparatus with improving on BP nerve network, through diagnosis and analysis of gas in transformer oil, the apparatus achieved diagnosing fault on line, and performs very well.
Keywords:electrical transformer  nerve network  fault diagnosis
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