变压器常见故障及人工神经网络在其诊断中的应用

Transformer Fault Diagnosis by Using Artificial Neural Networks

本文介绍变压器的几种常见的故障类型及其产生的原因 ,并利用人工神经网络和模糊理论来对其的故障进行诊断 ,有效地判断电力变压器的内部故障 ,保证了变压器的安全运行。

The paper introduce a few faults in transformers and the causes of the transformer faults,then adopt artificial neural network and fuzzy theory to accomplish the transformer fault diagnosis,internal faults of transformers can be diagnosed effectively according to test data collected from gas-in-oil analysis,ensure the transformer running safely.