灰色神经网络在变压器故障诊断中的应用  

Application of Gray Neural Network to Fault Diagnosis of Transformer

作　　者：程加堂[1] 熊伟[1] 段志梅[1] 雷竞业[1] 

机构地区：[1]红河学院工学院,云南蒙自661100

出　　处：《高压电器》2010年第8期56-58,62,共4页High Voltage Apparatus

基　　金：红河学院博硕项目(XSS08006)

摘　　要：针对变压器故障类型受油中溶解多种气体含量的影响,为提高变压器故障诊断的准确性,笔者使用灰色神经网络建立故障诊断模型,拟合输入与输出之间的复杂非线性函数关系,结果证明了该方法的可行性。Identification of transformer fault types is disturbed by a variety of dissolved gases in oil. To enhance the accuracy of fault diagnosis of transformers, a gray neural network model is established in this paper, and nonlinear mapping between input and output is fitted. Simulation result verifies the feasibility of the proposed method.

关 键 词：变压器 灰色神经网络 故障诊断 

分 类 号：TM407[电气工程—电器]