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Statistical approach for interpretation of power transformers frequency response analysis results

机译:解释变压器频率响应分析结果的统计方法

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In spite of many research efforts on fault diagnosis using frequency response analysis (FRA) method, there is still no universally accepted and systematic interpretation technique for these tests and ‘expert opinion’ is often sought when any damaging trend is observed as a result of fault occurrence. This study deals with statistical criteria for interpretation of the FRA results and presents a number of statistical and mathematical indicators that have not been used so far. A measurement setup accompanied by a transformer as a test object, on which winding faults are imposed, completes the test setup for performing the FRA measurements. The parameters are applied to the experimental FRA measurements and the results are compared by a simple normalising equation. Finally, the indicators which are adding more objectivity and transparency to interpretation of the FRA results are presented. Sweep frequency response analysis (SFRA) method is used in this study because of its efficiency and simplicity. It was found through this research work that -test, which introduced in this study for the first time, has higher sensitivity, and the differences between the normal and faulty responses of the transformers' windings is more reflected in this parameter compared with the other ones.
机译:尽管使用频率响应分析(FRA)方法进行故障诊断的研究工作很多,但是对于这些测试,仍然没有普遍接受的系统解释技术,并且当由于故障而观察到任何破坏趋势时,通常会寻求“专家意见”。发生。这项研究涉及用于解释FRA结果的统计标准,并提出了许多迄今为止尚未使用的统计和数学指标。带有变压器作为测试对象的测量设置(施加绕组故障)完成了用于执行FRA测量的测试设置。将参数应用于实验性FRA测量,并通过简单的归一化公式比较结果。最后,提出了为FRA结果的解释增加客观性和透明度的指标。扫频响应分析(SFRA)方法由于其高效性和简便性而用于本研究。通过这项研究工作发现,首次在本研究中介绍的测试具有更高的灵敏度,并且与其他参数相比,该参数更能反映出变压器绕组正常和故障响应之间的差异。 。

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