摘要
作者介绍了诊断变压器故障的气相色谱分析法 ,综述了专家系统、人工神经网络、灰关联分析以及数据挖掘技术在变压器故障诊断中的应用 ,阐述了各方法的优缺点 ,并指出了变压器故障诊断系统的未来发展趋势。
In this paper , chromatographic analysis which is one of the classical methods for power transformer fault diagnosis is introduced and the application of expert system 、artificial neural network 、grey relational analysis and data mining for power transformer fault diagnosis is described ,the advantage and deficiency of these methods are discussed , the development tendency in the future of power transformer fault diagnosis system is also pointed out.
出处
《西华大学学报(自然科学版)》
CAS
2004年第S1期97-99,109,共4页
Journal of Xihua University:Natural Science Edition
关键词
故障诊断
色谱分析
专家系统
人工神经网络
灰关联分析
数据挖掘
fault diagnosis
chromatographic analysis
expert system
artificial neural network
grey relational analysis
data mining