湖南大学学报（自然科学版）2012，Vol.39Issue(5)：59-64,6.
基于模糊神经网络的大型电力变压器风险评估方法研究
A Risk Assessment Method of Power Transformer Based on Fuzzy Analytic Hierarchy Process and Neural Network
摘要
Abstract
For the real-time and objective measurement of the risk caused by on-line power transformer, a power transformer risk assessment method was put forward based on Fuzzy Analytic Hierarchy Process (FAHP) and Artificial Neural Network (ANN) from the perspective of the accuracy and quickness of risk assessment. An analytic hierarchy process model for transformer risk assessment was built by analyzing risk factors affecting transformer risk level. In this model, a risk index system was established and index weights were quantified. The weight relation of each risk factor in transformer risk calculation was analyzed by applying fuzzy consistency judgment matrix. It took major risk factors as the input of the neutral network by making use of adaptive ability and nonlinear mapping ability of the ANN, thus realizing the intelligent quantitative assessment of transformer risks. Simulation results have shown that this method increases the speed and result accuracy of risk assessment and can provide feasible decision basis for transformer risk management and maintenance decisions.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
信息技术与安全科学引用本文复制引用
俞乾,李卫国,罗日成..基于模糊神经网络的大型电力变压器风险评估方法研究[J].湖南大学学报（自然科学版）,2012,39(5):59-64,6.基金项目
国家自然科学基金资助项目(50977003) （50977003）
