| 基于支持向量机的变压器故障分类 |
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| 引用本文： | 曹丰文. 基于支持向量机的变压器故障分类[J]. 苏州市职业大学学报, 2007, 18(2): 41-44 |
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| 作者姓名： | 曹丰文 |
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| 作者单位： | 苏州市职业大学,电子信息工程系,江苏,苏州,215104 |
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| 基金项目： | 江苏省教育厅自然科学基金 |
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| 摘 要： | 基于支持向量机的变压器故障诊断分类方法,通过有限的学习样本,建立变压器故障特征与其溶解气体之间的关系。利用获得的故障变压器数据建立了故障分类器,通过对样本的分类输出检验,验证了该故障诊断方法的可行性。
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| 关 键 词： | 支持向量机 变压器 故障诊断 |
| 文章编号： | 1008-5475（2007）02-0041-04 |
| 修稿时间： | 2007-03-20 |
A Power Transformer Fault Diagnosis Method Based on Support Vector Machine |
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| CAO Feng-wen. A Power Transformer Fault Diagnosis Method Based on Support Vector Machine[J]. Journal of Suzhou Vocational University, 2007, 18(2): 41-44 |
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| Authors: | CAO Feng-wen |
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| Affiliation: | Suzhou Vocational University, Suzhou 215104, China |
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| Abstract: | Support Vector Machines (SVM) is a machine-learning algorithm based on statistical learning theory. The method for power transformer fault diagnosis based on SVM is proposed in this paper. The principle and algorithm of this method are introduced. Through a finite learning sample the relation is established between the transformer fault signature and the quantity of its dissolved gas. A fault classifier is constructed by using the dissolved gas data of the fault transformer. The testing results show that this method can successfully be applied to the diagnosis of gear faults. |
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| Keywords: | support vector machine power transformer fault diagnosis |
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