基于改进熵权法和灰色关联分析的变压器故障诊断

摘要

The improved entropy method and the grey correlation analysis method of transformer fault diagnosis is pro-posed to solve the problem of the incomplete data information and low accuracy in fault diagnosis .Firstly, the method standardizes the sample data of transformer fault , then, it uses the improved entropy weight method to determine the index weights of transformer fault diagnosis , and finally , the transformer fault types are determine by calculating the improved grey Euclid weighted correlation degree .The example analysis results show that the validity and feasibility of the proposed method .Comparing with the traditional entropy weight method , the index weight distribution is more rea-sonable , and it can overcome the deficiency of the traditional grey correlation analysis indicators of parity , and the ac-curacy rate of fault diagnosis is significantly higher than the IEC three ratio method and general grey relation analysis .%针对目前电力变压器故障诊断存在数据信息不完备和故障诊断准确率低的问题，提出了改进熵权法和灰色关联分析相结合的变压器故障诊断方法。该方法首先对变压器故障样本数据进行标准化处理，然后采用改进熵权法确定变压器故障诊断指标的权重，再通过计算改进的灰色欧几里德加权关联度确定变压器的故障类型。实例分析结果表明该方法的正确性和可行性，与传统熵权法相比，指标的权重分配更为合理，并克服了传统灰色关联分析中指标平权的不足问题，故障诊断准确率显著高于IEC三比值法和一般灰色关联分析。