长沙理工大学学报：自然科学版2011，Vol.8Issue(3)：56-60,5.
FAHP和ANN在电力变压器风险评估中的应用
FAHP and ANN in power transformer risk assessment
摘要
Abstract
A risk assessment method based on the combination of FAHP and ANN were presented,FAHP was adopted to analyze the hierarchy structure of power transformer,and by distinguishing membership degree of influential factors of power transformer＇s state,it constructs a fuzzy matrix. Prior to this,the method figures out each factor＇s weight coefficient. By selecting factors of bigger weight coefficient as input of power transformer＇s ANN model, ANN＇s structure is simplified. Results show that the FAHP-ANN method overcome the disadvantages of ANN model structure in traditional risk assessment method, which includes complicated structure, multiple signals and long-time training, it also shortens the time of assessment,increases the precison of the data,achieves the ore-set target.关键词
模糊层次分析法/人工神经网络/风险评估/电力变压器Key words
fuzzy analytic hierarchy process/artificial neutral network/risk assessment/power transformer分类
动力与电气工程引用本文复制引用
吴莹,俞乾,罗日成,陈春,王菲菲..FAHP和ANN在电力变压器风险评估中的应用[J].长沙理工大学学报：自然科学版,2011,8(3):56-60,5.基金项目
电力与交通安全监控及节能教育部工程研究中心基金资助项目 （）
