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首页> 外文期刊>IEEE transactions on industrial informatics >Novel Calculation Method of Indices to Improve Classification of Transformer Winding Fault Type, Location, and Extent
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Novel Calculation Method of Indices to Improve Classification of Transformer Winding Fault Type, Location, and Extent

机译：改进变压器绕组故障类型，位置和程度分类的指标计算新方法

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摘要

In this paper, disk space variation, radial deformation, short circuit, and axial displacement as four common transformer winding faults, in different locations and with various extents, were practically applied to 20 kV winding of a 1.6 MVA distribution transformer. For classification of the fault type, its location, and extent, a new calculation method for transfer function (TF) comparison indices called windowed calculation was proposed. The whole frequency range of the TF is scanned in this method. It was shown that the presented method increases the visual fault detection ability even for fault-type detection and significantly enhances the accuracy of the classification winding faults type, location, and extent. In this study, Fisher discriminant analysis (FDA) was utilized for dimension reduction and feature extraction. The ability of the FDA for maximizing the between-class separability while minimizing their within-class variability was utilized for this application so as to decrease the dimension and extract appropriate features from a lot of calculated features by the proposed method.
机译：本文将磁盘空间变化，径向变形，短路和轴向位移作为四个常见的变压器绕组故障（在不同位置和程度不同）作为实际故障，实际上应用于1.6 MVA配电变压器的20 kV绕组。为了对故障类型，位置和范围进行分类，提出了一种新的传递函数比较指标计算方法，称为窗口计算。用这种方法扫描TF的整个频率范围。结果表明，所提出的方法甚至提高了故障类型检测的视觉故障检测能力，并显着提高了分类绕组故障类型，位置和程度的准确性。在这项研究中，使用Fisher判别分析（FDA）进行尺寸缩减和特征提取。 FDA将类别间可分离性最大化而类别间变异性最小化的能力被用于此应用，以便通过提出的方法减小尺寸并从许多计算出的特征中提取适当的特征。

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