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作 者:赵旭彤[1,2] 沈倩[3] 许家响[4] 杨超[5] 刘琳[5]
机构地区:[1]上海交通大学电子信息与电气工程学院,上海200240 [2]济南供电公司,山东济南250012 [3]西安供电局,陕西西安710032 [4]苏州供电公司,江苏苏州215000 [5]淄博供电公司,山东淄博255095
出 处:《电网与清洁能源》2013年第8期18-22,共5页Power System and Clean Energy
摘 要:提出了基于DGA三比值融合权重的变压器可拓关联故障诊断法,以IEC三比值法中5种气体的三对比值为诊断指标,建立相应的物元模型,应用熵值法对各项指标进行客观赋值,并将专家经验的主观赋值和熵值法的客观赋值进行综合得到融合权重,再将融合权重应用到故障诊断模型中,利用关联函数的计算进行变压器故障诊断。最后结合大量实例数据,进行诊断结果的分析、对比与统计,此方法有较高的准确率。结果证明,该方法的诊断结果更准确、全面、可靠。Dissolved-Gas-Analysis(DGA) is an important method to identify the transformer faults. This paper proposes an extension association method based on DGC three-ratio combined weights for identification of transformer faults. When diagnosing the type of the power transformer fault, experts are used to determine the subjective factors while the objective weight of each indicator is determined by Shannon entropy method. Thus, the combined weights of indicators are obtained and applied to the proposed method for transformer fault diagnosis. Finally, analysis, comparison and statistical work of the diagnosis results are performed based on a large quantity of data examples and this method is of higher accuracy. Results show that the diagnosis result obtained in this method proves to be more accurate, comprehensive and reliable.
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