基于多信息的变压器故障免疫诊断方法  

Immunodiagnosis for Power Transformer Faults Using Multi-information

作　　者：宋绍民[1] 桂卫华[1] 李祖林[2] 姚胜兴[2] 李建军[2] 

机构地区：[1]中南大学信息科学与工程学院,湖南省长沙市410083 [2]湖南工学院电气与信息工程系,湖南省衡阳市421008

出　　处：《电力系统自动化》2006年第16期61-65,共5页Automation of Electric Power Systems

基　　金：湖南省教育厅优秀青年科研项目资助。~~

摘　　要：根据免疫系统中抗体对抗原的识别机制提出一种基于免疫方法的变压器故障诊断模型。给出了功能模型结构,详细分析了模型的识别及学习方法。该方法可以快速准确地多分辨识别变压器故障,对新故障具有较强的学习能力,有效提高了诊断效率,解决了诊断中学习能力不足的问题。实验证明该模型诊断性能良好,在变压器在线监测中有良好的应用前景。An immunodiagnosis model for power transformer faults is put forward in terms of the recognition mechanism between antibody and antigen. The functional model is developed, and the way it diagnoses faults and learns new patterns is analyzed at length. This model is capable of realizing fast diagnosis, multi-resolution identification of transformer faults and new patterns learning. The diagnostic efficiency is proved greatly improved and the disability to learn is thus overcome. Experimental results show that this model is effective and better practicality can be achieved in on-line monitoring.

关 键 词：变压器 故障诊断 人工免疫 进化学习 

分 类 号：TM407[电气工程—电器] TM411