中文摘要：

在操作，风险从力量变压器差错产生具有许多无常和复杂性。到及时并且客观地控制风险，一个变压器风险评价方法基于模糊分析层次过程(FAHP ) 和从精确性和敏捷的观点的人工的神经网络(ANN ) 被建议。为变压器风险评价的一个分析层次过程模型被在变压器风险计算影响变压器风险水平和每个风险因素的重量关系的风险因素的分析造被模糊一致性的申请分析判断矩阵；与适应能力和 ANN 的非线性的印射能力的利用，有大重量的风险因素被用作中立网络的输入，并且对变压器风险的这样聪明的量的评价被认识到。模拟结果证明建议方法增加评价和罐头提供的风险的速度和精确性变压器风险管理和维护决定的可行决定基础。

英文摘要：

In operation, risk arising from power transformer faults is of much uncertainty and complicacy. To timely and objectively control the risks, a transformer risk assessment method based on fuzzy analytic hierarchy process （FAHP） and artificial neural network （ANN） from the perspective of accuracy and quickness is proposed. An analytic hierarchy process model for the transformer risk assessment is built by analysis of the risk factors affecting the transformer risk level and the weight relation of each risk factor in transformer risk calculation is analyzed by application of fuzzy consistency judgment matrix; with utilization of adaptive ability and nonlinear mapping ability of the ANN, the risk factors with large weights are used as input of neutral network, and thus intelligent quantitative assessment of transformer risk is realized. The simulation result shows that the proposed method increases the speed and accuracy of the risk assessment and can provide feasible decision basis for the transformer risk management and maintenance decisions.