Identification Winding Material of Distribution Transformer Based on Multi-Information Fusion

Abstract

In transformer production, some manufacturers use aluminum to impersonate copper to reduce the manufacturing cost, which is difficult to be detected and can cause significant losses to the power grid. To address the problem of non-destructive identification of winding material in distribution transformers, we propose a multi- information recognition method by fusing the harmonic resistance coefficient and the appearance parameters of the transformer, namely volume and height. Then the winding material is identified by a trained support vector machine model. The test results demonstrate that our proposed method achieves 90% recognition accuracy for copper transformers and 100% accuracy for aluminum transformers with the test samples. Additionally, the proposed non-destructive method is easier to implement than other methods in engineering.