A Novel Extension Method for Transformer Fault Diagnosis
A Novel Extension Method for Transformer Fault Diagnosis
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DOI：
10.1109/mper.2002.4312484
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发表时间：
2002-08
期刊：
影响因子：
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通讯作者：
Mang-Hui Wang
中科院分区：
文献类型：
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作者：
Mang-Hui Wang
变压器油中溶解气体分析（DGA）是检测变压器早期故障最有效的方法之一。然而，由于气体数据和操作变量的可变性，通过传统方法识别故障位置并不总是一件容易的任务。提出了一种基于物元模型和扩展关系函数的电力变压器故障诊断可拓方法。因此，电力变压器的早期故障，可以直接识别的关联度。这种新方法在某些变压器上的应用已取得了良好的效果。
Dissolved gas analysis (DGA) is one of the most useful techniques to detect incipient faults in power transformers. However, the identification of the faulted location by the traditional method is not always an easy task due to the variability of gas data and operational variables. A novel extension method, which is based on the matter-element model and extended relation functions, is presented for fault diagnosis of power transformers. Thus, incipient faults in power transformers can be identified directly by the degree of relation. The application of this new method to some transformers has given promising results.