Diagnosis of transformers based on vibration data

A. Tavakoli, L. D. Maria, D. Bartalesi, S. Garatti, S. Bittanti, B. Valecillos, U. Piovan
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引用次数: 3

Abstract

Transformers with loose or deformed windings can fail during an external short circuit with loss of service and heavy maintenance costs. The transformers’ tank vibration technique potentially offers a decisive solution for an on line continuous assessment of the integrity of structural elements in transformers. In this paper, the influence of sensor location on tank vibration measurements is addressed by means of Support Vector Machine (SVM) algorithms. Laboratory tests have been carried out in different points of the tank, on a typical oil filled power transformer under two extreme conditions, tight and loose windings. Preliminary results of SVM analysis of tank vibration spectra showed that it is possible to correctly identify winding looseness during repetitive sensor installation.
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基于振动数据的变压器诊断
在外部短路期间,绕组松动或变形的变压器可能会发生故障,造成服务损失和高昂的维护成本。变压器油箱振动技术有可能为变压器结构元件完整性的在线连续评估提供决定性的解决方案。本文利用支持向量机(SVM)算法解决了传感器位置对罐体振动测量的影响。在一个典型的充油电力变压器油箱的不同位置,在紧绕和松绕两种极端条件下进行了实验室试验。对油箱振动谱进行支持向量机分析的初步结果表明,在重复安装传感器过程中,可以正确识别绕组松动。
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