基于模糊理论的变压器故障诊断模型研究

Model of Transformer Fault Diagnosis Based on Fuzzy Theory

针对变压器状态诊断问题,以按变压器各个部件诊断为基础,引入模糊理论来构造变压器状态诊断模型,根据变压器各部件状态信息量的注意值和良好值,以及状态信息量和故障原因的对应关系,构造基于状态信息量的隶属函数,采用层次分析法确定变压器状态诊断模型中各状态信息的主观权重,然后选取熵值法确定各状态信息的客观权重,最后计算出主客观权重的综合赋权,将最终得到的权值应用于诊断模型中,计算故障概率,对得出的故障概率,按照最大隶属度原则判断故障原因。

To diagnose the problem of Transformer condition, according to the various parts of the transformer diag- nosis and based on the introduction of fuzzy theory to construct the transformer state diagnostic model, based on the attention value of the transformers parts state the amount of information and good value, and state the amount of in- formation and the eanse of failure of correspondence between constructed based on the membership function of the state the amount of information, using the analytic hierarchy process to determine the subjective weights for each state in the diagnosis model of transformer condition, and then select the entropy method to determine the objective weight status information, the final calculation of the synthetic weighting of subjective and objective weights the fi- nal weights used in the diagnostic model to calculate the failure probability and failure probability derived in accord- ance with the maximum membership degree principle to determine the cause of the malfunction.