基于神经网络的电力变压器故障性质诊断研究
기우신경망락적전력변압기고장성질진단연구
Study on Fault Quality Diagnosis of Power Transformer Based on Neural Network
  • 万方数据
    电子世界 전자세계
    ELECTRONICS WORLD
    2013年 13期 50-50,51 ,共2页

    吕宏丽%叶双%田红霞

    려굉려%협쌍%전홍하

    故障诊断%神经网络%隐含层%训练函数 故障診斷%神經網絡%隱含層%訓練函數
    고장진단%신경망락%은함층%훈련함수
    fault diagnosis%neural network%hidden layer%training function
    本文利用BP神经网络针对电力变压器故障性质诊断进行了研究，建立了5-12-3型神经网络模型，对比多种改进的BP算法选择最佳的训练函数。经实际数据仿真验证该模型能准确快速地得到诊断结果，达到预期效果。
    본문이용BP신경망락침대전력변압기고장성질진단진행료연구，건립료5-12-3형신경망락모형，대비다충개진적BP산법선택최가적훈련함수。경실제수거방진험증해모형능준학쾌속지득도진단결과，체도예기효과。
    This paper studies the power transformer fault quality diagnosis using the method of BP neural network.It is established a type of 5-12-3 neural network model and compared various improved BP algorithms for finding the optimum training function.Through simulation with practical data it is proved that the neural network model can make the fault diagnosis accurately and quickly and achieve the prospective effects.
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