基于置信规则库的电力变压器故障诊断模型

The Fault Diagnosis Model of The Power Transformer Based on the Belief Rule Base

分析电力变压器不完备故障信息,利用置信规则库(Belief Rule Base,BRB)专家系统对电力变压器进行故障诊断。根据故障的决策属性,以最佳决策属性作为置信规则库专家系统的前提属性,建立故障诊断的置信框架。实验结果表明,基于置信规则库的电力变压器故障诊断模型,可以有效的区分电力变压器的多种故障,提高了故障诊断的准确率和速度。

Through the analysis and study on the incomplete fault information of power transformer,the fault diagnostic model,based on the belief rule base(BRB)expert system,is proposed for the power transformer.According to the fault decision attributes,the optimal decision attributes are taken as the premise attributes for building the confidence framework of the fault diagnosis model.The experimental results show that the power transformer fault diagnosis model,based on BRB,can effectively distinguish the various faults of power transformer,and improve the accuracy and speed of the fault diagnosis.