王鹤,姜鸿儒,王振丁.基于多分类概率输出模型的变压器故障诊断*[J].电测与仪表,2018,55(17):101-106. WANG He,JIANG Hongru,WANG Zhending.Fault Diagnosis of Transformers Based on Multi - classified Probability Output Model[J].Electrical Measurement & Instrumentation,2018,55(17):101-106.
基于多分类概率输出模型的变压器故障诊断*
Fault Diagnosis of Transformers Based on Multi - classified Probability Output Model
In view of the traditional SVM method may lead to false diagnosis when the sample fault feature is unclear, a fault diagnosis method is proposed based on the multi - classified probability output model. The multi - classified probability output model is constructed by using Sigmoid function based on SVM. The input of the model is the DGA data and the fault type of transformer, the output is the probability estimate for each failure type. The fault probability information can be used to identify whether the fault feature is clear by setting the relevant evaluation standards. The example shows that the samples with unknown fault characteristics can be identified by using the diagnostic results of the MCPO model, and provide a reference for further reasonable measures.
