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Sweep frequency response analysis (SFRA) for the assessment of winding displacements and deformation in power transformers

机译:扫频响应分析(SFRA)用于评估电力变压器中的绕组位移和变形

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摘要

The sweep frequency response analysis (SFRA) is an analysis technique for detecting winding displacement and deformation (among other mechanical and electrical failures) on power and distribution transformers. Nowadays, there is an increasing interest in SFRA method because of its sensibility in detecting mechanical faults without opening the unit. SFRA as a diagnostic technique must integrate both the off-line measurements and the interpretation of the data in order to provide an assessment of the condition of the windings. However, guidelines for the measurement and record interpretation are not available. The evaluation is presently done by experts in the topic through the visual inspection or with the help of statistical parameters such as the correlation coefficient and the standard deviation. However, criteria like the limits of normal variation of the parameters, and the features observed in the records in the presence of a determined type of fault could not to coincide. Although, there are some proposals for making the interpretation more objective, neither of them integrate human expertise along with the different kind of parameters obtained from the evaluation of the records in a diagnostic model. This paper presents a survey on the alternatives in the measurement techniques and interpretation of SFRA measurements, describing some sources of uncertainty in applying this methodology.
机译:扫频响应分析(SFRA)是一种用于检测电力变压器和配电变压器上的绕组位移和变形(以及其他机械和电气故障)的分析技术。如今,由于SFRA方法在不打开设备的情况下检测机械故障的敏感性,因此引起了越来越多的关注。 SFRA作为一种诊断技术,必须同时集成离线测量和数据解释,以便对绕组状况进行评估。但是,没有有关测量和记录解释的指南。目前,评估是由该领域的专家通过目视检查或借助统计参数(例如相关系数和标准偏差)进行的。但是,诸如参数正常变化的限制之类的标准以及在存在确定类型的故障的情况下记录中观察到的特征可能不一致。尽管存在一些使解释更客观的建议,但都没有将人类的专业知识与从诊断模型中的记录评估中获得的不同种类的参数结合在一起。本文对测量技术的替代方案和SFRA测量的解释进行了调查,描述了使用此方法时的一些不确定性来源。

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